Refactor whisper (#1131)

* refactor transcribe hook * Fix stt setting * remove deprecated files * fix transcribe api * may select model when transcribe using local * refactor * upgrade deps * update echogarden check try to fix CI * update echogarden check * update CI
2024-10-17 09:13:04 +08:00
parent 9e974e977e
commit 62d6d84fc7
35 changed files with 630 additions and 14942 deletions
--- a/.github/workflows/test-enjoy-app.yml
+++ b/.github/workflows/test-enjoy-app.yml
@@ -20,7 +20,7 @@ jobs:
    strategy:
      fail-fast: false
      matrix:
-        os: [macos-12, macos-14, windows-latest]
+        os: [macos-12, macos-14, windows-latest, ubuntu-latest]
    steps:
      - uses: actions/checkout@v4

@@ -47,17 +47,24 @@ jobs:
        run: yarn enjoy:package

      - name: Run main tests with xvfb-run on Ubuntu
+        continue-on-error: true
        if: contains(matrix.os, 'ubuntu')
        env:
          DEBUG: pw:browser*
        run: |
          xvfb-run --auto-servernum --server-args="-screen 0 1280x960x24" -- yarn enjoy:test:main

-      - name: Run main tests on macOS or Windows
-        if: contains(matrix.os, 'macos') || contains(matrix.os, 'windows')
+      - name: Run main tests on Windows
+        continue-on-error: true
+        if: contains(matrix.os, 'windows')
+        run: yarn enjoy:test:main
+
+      - name: Run main tests on macOS
+        if: contains(matrix.os, 'macos')
        run: yarn enjoy:test:main

      - name: Run renderer tests with xvfb-run on Ubuntu
+        continue-on-error: true
        if: contains(matrix.os, 'ubuntu')
        run: |
          xvfb-run --auto-servernum --server-args="-screen 0 1280x960x24" -- yarn enjoy:test:renderer
--- a/1000h-portal/package.json
+++ b/1000h-portal/package.json
@@ -12,7 +12,7 @@
  "dependencies": {
    "@nuxtjs/seo": "^2.0.0-rc.23",
    "nuxt": "^3.13.2",
-    "nuxt-og-image": "^3.0.4",
+    "nuxt-og-image": "^3.0.6",
    "vue": "^3.5.12",
    "vue-router": "^4.4.5"
  },
@@ -20,6 +20,6 @@
    "autoprefixer": "^10.4.20",
    "postcss": "^8.4.47",
    "sass": "^1.79.5",
-    "tailwindcss": "^3.4.13"
+    "tailwindcss": "^3.4.14"
  }
 }
--- a/enjoy/e2e/main.spec.ts
+++ b/enjoy/e2e/main.spec.ts
@@ -60,9 +60,17 @@ test.afterAll(async () => {
  await electronApp.close();
 });

-test("validate whisper command", async () => {
+test("validate echogarden command", async () => {
  const res = await page.evaluate(() => {
-    return window.__ENJOY_APP__.whisper.check();
+    return window.__ENJOY_APP__.echogarden.check({
+      engine: "whisper",
+      whisper: {
+        model: "tiny.en",
+        language: "en",
+        encoderProvider: "cpu",
+        decoderProvider: "cpu",
+      },
+    });
  });
  console.info(res.log);
  expect(res.success).toBeTruthy();
@@ -75,13 +83,6 @@ test("valid ffmpeg command", async () => {
  expect(res).toBeTruthy();
 });

-test("validate echogarden align command", async () => {
-  const res = await page.evaluate(() => {
-    return window.__ENJOY_APP__.echogarden.check();
-  });
-  expect(res).toBeTruthy();
-});
-
 test("should setup default library path", async () => {
  const settings = fs.readJsonSync(path.join(resultDir, "settings.json"));
  expect(settings.library).not.toBeNull();
--- a/enjoy/lib/whisper.cpp/arm64/darwin/ggml-metal.metal
+++ b/enjoy/lib/whisper.cpp/arm64/darwin/ggml-metal.metal
--- a/enjoy/lib/whisper.cpp/arm64/darwin/main
+++ b/enjoy/lib/whisper.cpp/arm64/darwin/main
--- a/enjoy/lib/whisper.cpp/x64/darwin/ggml-metal.metal
+++ b/enjoy/lib/whisper.cpp/x64/darwin/ggml-metal.metal
--- a/enjoy/lib/whisper.cpp/x64/darwin/main
+++ b/enjoy/lib/whisper.cpp/x64/darwin/main
--- a/enjoy/lib/whisper.cpp/x64/linux/main
+++ b/enjoy/lib/whisper.cpp/x64/linux/main
--- a/enjoy/lib/whisper.cpp/x64/win32/SDL2.dll
+++ b/enjoy/lib/whisper.cpp/x64/win32/SDL2.dll
--- a/enjoy/lib/whisper.cpp/x64/win32/main.exe
+++ b/enjoy/lib/whisper.cpp/x64/win32/main.exe
--- a/enjoy/lib/whisper.cpp/x64/win32/whisper.dll
+++ b/enjoy/lib/whisper.cpp/x64/win32/whisper.dll
--- a/enjoy/package.json
+++ b/enjoy/package.json
@@ -19,9 +19,8 @@
    "test:main": "yarn run playwright test e2e/main.spec.ts",
    "test:renderer": "yarn run playwright test e2e/renderer.spec.ts",
    "create-migration": "zx ./src/main/db/create-migration.mjs",
-    "download-whisper-model": "zx ./scripts/download-whisper-model.mjs",
    "download-dictionaries": "zx ./scripts/download-dictionaries.mjs",
-    "download": "yarn run download-whisper-model && yarn run download-dictionaries"
+    "download": "yarn run download-dictionaries"
  },
  "keywords": [],
  "author": {
@@ -41,7 +40,7 @@
    "@electron-forge/plugin-vite": "<7.5.0",
    "@electron-forge/publisher-github": "<7.5.0",
    "@electron/fuses": "^1.8.0",
-    "@playwright/test": "^1.48.0",
+    "@playwright/test": "^1.48.1",
    "@tailwindcss/typography": "^0.5.15",
    "@types/ahoy.js": "^0.4.2",
    "@types/autosize": "^4.0.3",
@@ -66,7 +65,7 @@
    "@typescript-eslint/parser": "^8.9.0",
    "@vitejs/plugin-react": "^4.3.2",
    "autoprefixer": "^10.4.20",
-    "electron": "^32.2.0",
+    "electron": "^33.0.1",
    "electron-devtools-installer": "^3.2.0",
    "electron-playwright-helpers": "^1.7.1",
    "eslint": "^9.12.0",
@@ -78,10 +77,10 @@
    "prop-types": "^15.8.1",
    "tailwind-merge": "^2.5.4",
    "tailwind-scrollbar": "^3.1.0",
-    "tailwindcss": "^3.4.13",
+    "tailwindcss": "^3.4.14",
    "tailwindcss-animate": "^1.0.7",
    "ts-node": "^10.9.2",
-    "tslib": "^2.7.0",
+    "tslib": "^2.8.0",
    "typescript": "^5.6.3",
    "vite": "^5.4.9",
    "vite-plugin-static-copy": "^2.0.0",
@@ -120,7 +119,7 @@
    "@radix-ui/react-toast": "^1.2.2",
    "@radix-ui/react-toggle": "^1.1.0",
    "@radix-ui/react-tooltip": "^1.1.3",
-    "@rails/actioncable": "7.2.100",
+    "@rails/actioncable": "7.2.101",
    "@uidotdev/usehooks": "^2.4.1",
    "@vidstack/react": "^1.12.11",
    "ahoy.js": "^0.4.4",
@@ -128,7 +127,7 @@
    "axios": "^1.7.7",
    "camelcase": "^8.0.0",
    "camelcase-keys": "^9.1.3",
-    "chart.js": "^4.4.4",
+    "chart.js": "^4.4.5",
    "cheerio": "^1.0.0",
    "class-variance-authority": "^0.7.0",
    "clsx": "^2.1.1",
@@ -140,7 +139,7 @@
    "dayjs": "^1.11.13",
    "decamelize": "^6.0.0",
    "decamelize-keys": "^2.0.1",
-    "echogarden": "^1.8.1",
+    "echogarden": "^1.8.4",
    "electron-context-menu": "^4.0.4",
    "electron-log": "^5.2.0",
    "electron-settings": "^4.0.4",
@@ -156,9 +155,9 @@
    "langchain": "^0.3.2",
    "lodash": "^4.17.21",
    "lru-cache": "^11.0.1",
-    "lucide-react": "^0.452.0",
+    "lucide-react": "^0.453.0",
    "mark.js": "^8.11.1",
-    "microsoft-cognitiveservices-speech-sdk": "^1.40.0",
+    "microsoft-cognitiveservices-speech-sdk": "^1.41.0",
    "mustache": "^4.2.0",
    "next-themes": "^0.3.0",
    "openai": "^4.67.3",
--- a/enjoy/scripts/download-whisper-model.mjs
+++ b/enjoy/scripts/download-whisper-model.mjs
@@ -1,113 +0,0 @@
-#!/usr/bin/env zx
-
-import axios from "axios";
-import progress from "progress";
-import { createHash } from "crypto";
-
-const model = "ggml-tiny.en.bin";
-const sha = "c78c86eb1a8faa21b369bcd33207cc90d64ae9df";
-
-const dir = path.join(process.cwd(), "lib/whisper.cpp/models");
-
-console.info(chalk.blue(`=> Download whisper model ${model}`));
-
-fs.ensureDirSync(dir);
-try {
-  if (fs.statSync(path.join(dir, model)).isFile()) {
-    console.info(chalk.green(`✅ Model ${model} already exists`));
-    const hash = await hashFile(path.join(dir, model), { algo: "sha1" });
-    if (hash === sha) {
-      console.info(chalk.green(`✅ Model ${model} valid`));
-      process.exit(0);
-    } else {
-      console.error(
-        chalk.red(`❌ Model ${model} not valid, start to redownload`)
-      );
-      fs.removeSync(path.join(dir, model));
-    }
-  }
-} catch (err) {
-  if (err && err.code !== "ENOENT") {
-    console.error(chalk.red(`❌ Error: ${err}`));
-    process.exit(1);
-  } else {
-    console.info(chalk.blue(`=> Start to download model ${model}`));
-  }
-}
-
-const proxyUrl =
-  process.env.HTTPS_PROXY ||
-  process.env.https_proxy ||
-  process.env.HTTP_PROXY ||
-  process.env.http_proxy;
-
-if (proxyUrl) {
-  const { hostname, port, protocol } = new URL(proxyUrl);
-  axios.defaults.proxy = {
-    host: hostname,
-    port: port,
-    protocol: protocol,
-  };
-}
-
-// const modelUrlPrefix =
-//   "https://hf-mirror.com/ggerganov/whisper.cpp/resolve/main";
-const modelUrlPrefix = "https://enjoy-storage.baizhiheizi.com";
-
-function hashFile(path, options) {
-  const algo = options.algo || "sha1";
-  return new Promise((resolve, reject) => {
-    const hash = createHash(algo);
-    const stream = fs.createReadStream(path);
-    stream.on("error", reject);
-    stream.on("data", (chunk) => hash.update(chunk));
-    stream.on("end", () => resolve(hash.digest("hex")));
-  });
-}
-
-const download = async (url, dest) => {
-  console.info(chalk.blue(`=> Start to download from ${url} to ${dest}`));
-  return axios
-    .get(url, { responseType: "stream" })
-    .then((response) => {
-      const totalLength = response.headers["content-length"];
-
-      const progressBar = new progress(`-> downloading [:bar] :percent :etas`, {
-        width: 40,
-        complete: "=",
-        incomplete: " ",
-        renderThrottle: 1,
-        total: parseInt(totalLength),
-      });
-
-      response.data.on("data", (chunk) => {
-        progressBar.tick(chunk.length);
-      });
-
-      response.data.pipe(fs.createWriteStream(dest)).on("close", async () => {
-        console.info(chalk.green(`✅ Model ${model} downloaded successfully`));
-        const hash = await hashFile(path.join(dir, model), { algo: "sha1" });
-        if (hash === sha) {
-          console.info(chalk.green(`✅ Model ${model} valid`));
-          process.exit(0);
-        } else {
-          console.error(
-            chalk.red(
-              `❌ Model ${model} not valid, please try again using command \`yarn workspace enjoy download-whisper-model\``
-            )
-          );
-          process.exit(1);
-        }
-      });
-    })
-    .catch((err) => {
-      console.error(
-        chalk.red(
-          `❌ Failed to download ${url}: ${err}.\nPlease try again using command \`yarn workspace enjoy download-whisper-model\``
-        )
-      );
-      process.exit(1);
-    });
-};
-
-await download(`${modelUrlPrefix}/${model}`, path.join(dir, model));
--- a/enjoy/src/constants/index.ts
+++ b/enjoy/src/constants/index.ts
@@ -2,9 +2,20 @@ export * from "./chat-agent-templates";
 export * from "./gpt-presets";
 export * from "./ipa";

-// https://hf-mirror.com/ggerganov/whisper.cpp/tree/main
-import whisperModels from "./whisper-models.json";
-export const WHISPER_MODELS_OPTIONS = whisperModels;
+export const WHISPER_MODELS = [
+  "tiny",
+  "tiny.en",
+  "base",
+  "base.en",
+  "small",
+  "small.en",
+  "medium",
+  "medium.en",
+  "large-v1",
+  "large-v2",
+  "large-v3",
+  "large-v3-turbo",
+];

 import languages from "./languages.json";
 export const LANGUAGES = languages;
--- a/enjoy/src/constants/whisper-models.json
+++ b/enjoy/src/constants/whisper-models.json
@@ -1,79 +0,0 @@
-[
-  {
-    "type": "tiny",
-    "name": "ggml-tiny.bin",
-    "size": "75 MB",
-    "sha": "bd577a113a864445d4c299885e0cb97d4ba92b5f",
-    "url": "https://hf-mirror.com/ggerganov/whisper.cpp/resolve/main/ggml-tiny.bin"
-  },
-  {
-    "type": "tiny.en",
-    "name": "ggml-tiny.en.bin",
-    "size": "75 MB",
-    "sha": "c78c86eb1a8faa21b369bcd33207cc90d64ae9df",
-    "url": "https://hf-mirror.com/ggerganov/whisper.cpp/resolve/main/ggml-tiny.en.bin"
-  },
-  {
-    "type": "base",
-    "name": "ggml-base.bin",
-    "size": "142 MB",
-    "sha": "465707469ff3a37a2b9b8d8f89f2f99de7299dac",
-    "url": "https://hf-mirror.com/ggerganov/whisper.cpp/resolve/main/ggml-base.bin"
-  },
-  {
-    "type": "base.en",
-    "name": "ggml-base.en.bin",
-    "size": "142 MB",
-    "sha": "137c40403d78fd54d454da0f9bd998f78703390c",
-    "url": "https://hf-mirror.com/ggerganov/whisper.cpp/resolve/main/ggml-base.en.bin"
-  },
-  {
-    "type": "small",
-    "name": "ggml-small.bin",
-    "size": "466 MB",
-    "sha": "55356645c2b361a969dfd0ef2c5a50d530afd8d5",
-    "url": "https://hf-mirror.com/ggerganov/whisper.cpp/resolve/main/ggml-small.bin"
-  },
-  {
-    "type": "small.en",
-    "name": "ggml-small.en.bin",
-    "size": "466 MB",
-    "sha": "db8a495a91d927739e50b3fc1cc4c6b8f6c2d022",
-    "url": "https://hf-mirror.com/ggerganov/whisper.cpp/resolve/main/ggml-small.en.bin"
-  },
-  {
-    "type": "medium",
-    "name": "ggml-medium.bin",
-    "size": "1.5 GB",
-    "sha": "fd9727b6e1217c2f614f9b698455c4ffd82463b4",
-    "url": "https://hf-mirror.com/ggerganov/whisper.cpp/resolve/main/ggml-medium.bin"
-  },
-  {
-    "type": "medium.en",
-    "name": "ggml-medium.en.bin",
-    "size": "1.5 GB",
-    "sha": "8c30f0e44ce9560643ebd10bbe50cd20eafd3723",
-    "url": "https://hf-mirror.com/ggerganov/whisper.cpp/resolve/main/ggml-medium.en.bin"
-  },
-  {
-    "type": "large-v1",
-    "name": "ggml-large-v1.bin",
-    "size": "2.9 GB",
-    "sha": "b1caaf735c4cc1429223d5a74f0f4d0b9b59a299",
-    "url": "https://hf-mirror.com/ggerganov/whisper.cpp/resolve/main/ggml-large-v1.bin"
-  },
-  {
-    "type": "large-v2",
-    "name": "ggml-large-v2.bin",
-    "size": "2.9 GB",
-    "sha": "0f4c8e34f21cf1a914c59d8b3ce882345ad349d6",
-    "url": "https://hf-mirror.com/ggerganov/whisper.cpp/resolve/main/ggml-large-v2.bin"
-  },
-  {
-    "type": "large",
-    "name": "ggml-large-v3.bin",
-    "size": "2.9 GB",
-    "sha": "ad82bf6a9043ceed055076d0fd39f5f186ff8062",
-    "url": "https://hf-mirror.com/ggerganov/whisper.cpp/resolve/main/ggml-large-v3.bin"
-  }
-]
--- a/enjoy/src/i18n/en.json
+++ b/enjoy/src/i18n/en.json
@@ -450,6 +450,10 @@
  "whisperIsWorkingGood": "Whisper is working good",
  "whisperIsNotWorking": "Whisper is not working",
  "whisperTranscribeFailed": "Whisper transcribe failed. Maybe your machine is not compatbile with it. Please use other STT service. {{error}}",
+  "openaiTranscribeFailed": "OpenAI transcribe failed. {{error}}",
+  "cloudflareTranscribeFailed": "Cloudflare transcribe failed. {{error}}",
+  "azureTranscribeFailed": "Azure transcribe failed. {{error}}",
+  "transcribeFailed": "Transcribe failed.",
  "checkingWhisperModel": "Checking whisper model",
  "whisperModelIsWorkingGood": "Whisper model is working good",
  "whisperModelIsNotWorking": "Whisper model is not working",
--- a/enjoy/src/i18n/zh-CN.json
+++ b/enjoy/src/i18n/zh-CN.json
@@ -450,6 +450,10 @@
  "whisperIsWorkingGood": "Whisper 正常工作",
  "whisperIsNotWorking": "Whisper 无法正常工作，请尝试更换模型后重试，或联系开发者",
  "whisperTranscribeFailed": "Whisper 语音转文本失败。您的设备可能不兼容该功能，请选择其他语音转文本服务。{{error}}",
+  "openaiTranscribeFailed": "OpenAI 语音转文本失败。{{error}}",
+  "cloudflareTranscribeFailed": "Cloudflare 语音转文本失败。{{error}}",
+  "azureTranscribeFailed": "Azure 语音转文本失败。{{error}}",
+  "transcribeFailed": "语音转文本失败。",
  "checkingWhisperModel": "正在检查 Whisper 模型",
  "whisperModelIsWorkingGood": "Whisper 模型正常工作",
  "whisperModelIsNotWorking": "Whisper 模型无法正常工作，请尝试更换模型后重试，或联系开发者",
--- a/enjoy/src/main/echogarden.ts
+++ b/enjoy/src/main/echogarden.ts
@@ -1,6 +1,6 @@
 import { ipcMain } from "electron";
 import * as Echogarden from "echogarden/dist/api/API.js";
-import { AlignmentOptions } from "echogarden/dist/api/API";
+import { AlignmentOptions, RecognitionOptions } from "echogarden/dist/api/API";
 import {
  encodeRawAudioToWave,
  decodeWaveToRawAudio,
@@ -22,11 +22,19 @@ import settings from "@main/settings";
 import fs from "fs-extra";
 import ffmpegPath from "ffmpeg-static";
 import { enjoyUrlToPath, pathToEnjoyUrl } from "./utils";
+import { UserSetting } from "./db/models";
+import { UserSettingKeyEnum } from "@/types/enums";
+import { WHISPER_MODELS } from "@/constants";
+import { WhisperOptions } from "echogarden/dist/recognition/WhisperSTT.js";

 Echogarden.setGlobalOption(
  "ffmpegPath",
  ffmpegPath.replace("app.asar", "app.asar.unpacked")
 );
+Echogarden.setGlobalOption(
+  "packageBaseURL",
+  "https://hf-mirror.com/echogarden/echogarden-packages/resolve/main/"
+);

 const __filename = url.fileURLToPath(import.meta.url);
 /*
@@ -38,6 +46,7 @@ const __dirname = path

 const logger = log.scope("echogarden");
 class EchogardenWrapper {
+  public recognize: typeof Echogarden.recognize;
  public align: typeof Echogarden.align;
  public alignSegments: typeof Echogarden.alignSegments;
  public denoise: typeof Echogarden.denoise;
@@ -50,6 +59,7 @@ class EchogardenWrapper {
  public wordTimelineToSegmentSentenceTimeline: typeof wordTimelineToSegmentSentenceTimeline;

  constructor() {
+    this.recognize = Echogarden.recognize;
    this.align = Echogarden.align;
    this.alignSegments = Echogarden.alignSegments;
    this.denoise = Echogarden.denoise;
@@ -63,14 +73,27 @@ class EchogardenWrapper {
      wordTimelineToSegmentSentenceTimeline;
  }

-  async check() {
+  async check(
+    options: RecognitionOptions = {
+      engine: "whisper",
+      whisper: {
+        model: "tiny.en",
+        language: "en",
+      } as WhisperOptions,
+    }
+  ) {
    const sampleFile = path.join(__dirname, "samples", "jfk.wav");
    try {
-      const result = await this.align(
-        sampleFile,
-        "And so my fellow Americans ask not what your country can do for you",
-        {}
-      );
+      const whisperModel = await UserSetting.get(UserSettingKeyEnum.WHISPER);
+      if (WHISPER_MODELS.includes(whisperModel)) {
+        options.whisper.model = whisperModel;
+      }
+    } catch (e) {
+      logger.error(e);
+    }
+
+    try {
+      const result = await this.recognize(sampleFile, options);
      logger.info(result);
      fs.writeJsonSync(
        path.join(settings.cachePath(), "echogarden-check.json"),
@@ -78,10 +101,10 @@ class EchogardenWrapper {
        { spaces: 2 }
      );

-      return true;
+      return { success: true, log: "" };
    } catch (e) {
      logger.error(e);
-      return false;
+      return { success: false, log: e.message };
    }
  }

@@ -102,6 +125,20 @@ class EchogardenWrapper {
  }

  registerIpcHandlers() {
+    ipcMain.handle(
+      "echogarden-recognize",
+      async (_event, url: string, options: RecognitionOptions) => {
+        logger.debug("echogarden-recognize:", options);
+        try {
+          const input = enjoyUrlToPath(url);
+          return await this.recognize(input, options);
+        } catch (err) {
+          logger.error(err);
+          throw err;
+        }
+      }
+    );
+
    ipcMain.handle(
      "echogarden-align",
      async (
@@ -129,6 +166,9 @@ class EchogardenWrapper {
        options: AlignmentOptions
      ) => {
        logger.debug("echogarden-align-segments:", timeline, options);
+        if (typeof input === "string") {
+          input = enjoyUrlToPath(input);
+        }
        try {
          const rawAudio = await this.ensureRawAudio(input, 16000);
          return await this.alignSegments(rawAudio, timeline, options);
@@ -182,8 +222,8 @@ class EchogardenWrapper {
      }
    );

-    ipcMain.handle("echogarden-check", async (_event) => {
-      return this.check();
+    ipcMain.handle("echogarden-check", async (_event, options: any) => {
+      return this.check(options);
    });
  }
 }
--- a/enjoy/src/main/whisper.ts
+++ b/enjoy/src/main/whisper.ts
@@ -1,330 +0,0 @@
-import { ipcMain } from "electron";
-import settings from "@main/settings";
-import path from "path";
-import { WHISPER_MODELS_OPTIONS, PROCESS_TIMEOUT } from "@/constants";
-import { exec, spawn } from "child_process";
-import fs from "fs-extra";
-import log from "@main/logger";
-import url from "url";
-import { enjoyUrlToPath } from "./utils";
-import { t } from "i18next";
-import { UserSetting } from "@main/db/models";
-import db from "@main/db";
-import { UserSettingKeyEnum } from "@/types/enums";
-
-const __filename = url.fileURLToPath(import.meta.url);
-/*
- * whipser bin file will be in /app.asar.unpacked instead of /app.asar
- */
-const __dirname = path
-  .dirname(__filename)
-  .replace("app.asar", "app.asar.unpacked");
-
-const logger = log.scope("whisper");
-
-class Whipser {
-  private binMain: string;
-  private bundledModelsDir: string;
-  public config: WhisperConfigType;
-  private abortController: AbortController;
-
-  constructor() {
-    const customWhisperPath = path.join(
-      settings.libraryPath(),
-      "whisper",
-      "main"
-    );
-    this.bundledModelsDir = path.join(__dirname, "lib", "whisper", "models");
-    if (fs.existsSync(customWhisperPath)) {
-      this.binMain = customWhisperPath;
-    } else {
-      this.binMain = path.join(__dirname, "lib", "whisper", "main");
-    }
-    this.initialize();
-  }
-
-  async initialize() {
-    const models = [];
-
-    const bundledModels = fs.readdirSync(this.bundledModelsDir);
-    for (const file of bundledModels) {
-      const model = WHISPER_MODELS_OPTIONS.find((m) => m.name == file);
-      if (!model) continue;
-
-      models.push({
-        ...model,
-        savePath: path.join(this.bundledModelsDir, file),
-      });
-    }
-
-    const dir = path.join(settings.libraryPath(), "whisper", "models");
-    fs.ensureDirSync(dir);
-    const files = fs.readdirSync(dir);
-    for (const file of files) {
-      const model = WHISPER_MODELS_OPTIONS.find((m) => m.name == file);
-      if (!model) continue;
-
-      models.push({
-        ...model,
-        savePath: path.join(dir, file),
-      });
-    }
-
-    if (db.connection) {
-      const whisperConfig = (await UserSetting.get(
-        UserSettingKeyEnum.WHISPER
-      )) as string;
-      this.config = {
-        model: whisperConfig || models[0].name,
-        availableModels: models,
-        modelsPath: dir,
-      };
-    } else {
-      this.config = {
-        model: models[0].name,
-        availableModels: models,
-        modelsPath: dir,
-      };
-    }
-  }
-
-  currentModel() {
-    if (!this.config.availableModels) return;
-
-    let model: WhisperConfigType["availableModels"][0];
-    if (this.config.model) {
-      model = (this.config.availableModels || []).find(
-        (m) => m.name === this.config.model
-      );
-    }
-    if (!model) {
-      model = this.config.availableModels[0];
-      this.config = Object.assign({}, this.config, { model: model.name });
-      UserSetting.set(UserSettingKeyEnum.WHISPER, model.name);
-    }
-
-    return model;
-  }
-
-  async check() {
-    this.abortController?.abort();
-    this.abortController = new AbortController();
-
-    const model = this.currentModel();
-    logger.debug(`Checking whisper model: ${model.savePath}`);
-
-    const sampleFile = path.join(__dirname, "samples", "jfk.wav");
-    const tmpDir = settings.cachePath();
-    const outputFile = path.join(tmpDir, "jfk.json");
-    fs.rmSync(outputFile, { force: true });
-    return new Promise((resolve, _reject) => {
-      const commands = [
-        `"${this.binMain}"`,
-        `--file "${sampleFile}"`,
-        `--model "${model.savePath}"`,
-        "--output-json",
-        `--output-file "${path.join(tmpDir, "jfk")}"`,
-      ];
-      logger.debug(`Checking whisper command: ${commands.join(" ")}`);
-      exec(
-        commands.join(" "),
-        {
-          timeout: PROCESS_TIMEOUT,
-          signal: this.abortController.signal,
-        },
-        (error, stdout, stderr) => {
-          if (error) {
-            logger.error("error", error);
-          }
-
-          if (stderr) {
-            logger.info("stderr", stderr);
-          }
-
-          if (stdout) {
-            logger.debug(stdout);
-          }
-
-          resolve({
-            success: fs.existsSync(outputFile),
-            log: `${error?.message || ""}\n${stderr}\n${stdout}`,
-          });
-        }
-      );
-    });
-  }
-
-  /* Ensure the file is in wav format
-   * and 16kHz sample rate
-   */
-  async transcribe(
-    params: {
-      file?: string;
-      blob?: {
-        type: string;
-        arrayBuffer: ArrayBuffer;
-      };
-    },
-    options?: {
-      language?: string;
-      force?: boolean;
-      extra?: string[];
-      onProgress?: (progress: number) => void;
-    }
-  ): Promise<Partial<WhisperOutputType>> {
-    logger.debug("transcribing from local");
-
-    this.abortController?.abort();
-    this.abortController = new AbortController();
-
-    const { blob } = params;
-    let { file } = params;
-
-    if (file) {
-      file = enjoyUrlToPath(file);
-    } else if (blob) {
-      const format = blob.type.split("/")[1];
-      if (format !== "wav") {
-        throw new Error("Only wav format is supported");
-      }
-
-      file = path.join(settings.cachePath(), `${Date.now()}.${format}`);
-      await fs.outputFile(file, Buffer.from(blob.arrayBuffer));
-    } else {
-      throw new Error("No file or blob provided");
-    }
-
-    const { force = false, extra = [], language, onProgress } = options || {};
-
-    const model = this.currentModel();
-    if (language && !language.startsWith("en") && model.name.includes("en")) {
-      throw new Error(`Model ${model.name} does not support ${language}`);
-    }
-
-    const filename = path.basename(file, path.extname(file));
-    const tmpDir = settings.cachePath();
-    const outputFile = path.join(tmpDir, filename + ".json");
-
-    logger.info(`Trying to transcribe ${file} to ${outputFile}`);
-    if (fs.pathExistsSync(outputFile) && !force) {
-      logger.info(`File ${outputFile} already exists`);
-      return fs.readJson(outputFile);
-    }
-
-    const commandArguments = [
-      "--file",
-      file,
-      "--model",
-      model.savePath,
-      "--output-json",
-      "--output-file",
-      path.join(tmpDir, filename),
-      "--print-progress",
-      "--language",
-      model.name.includes("en") ? "en" : language?.split("-")?.[0] || "auto",
-      // `--split-on-word`,
-      // `--max-len`,
-      // "1",
-      ...extra,
-    ];
-
-    logger.info(
-      `Running command: ${this.binMain} ${commandArguments.join(" ")}`
-    );
-
-    const command = spawn(this.binMain, commandArguments, {
-      timeout: PROCESS_TIMEOUT,
-      signal: this.abortController.signal,
-    });
-
-    return new Promise((resolve, reject) => {
-      command.stdout.on("data", (data) => {
-        logger.debug(`stdout: ${data}`);
-      });
-
-      command.stderr.on("data", (data) => {
-        const output = data.toString();
-        logger.info(`stderr: ${output}`);
-        if (output.startsWith("whisper_print_progress_callback")) {
-          const progress = parseInt(output.match(/\d+%/)?.[0] || "0");
-          if (typeof progress === "number" && onProgress) onProgress(progress);
-        }
-      });
-
-      command.on("exit", (code) => {
-        logger.info(`transcribe process exited with code ${code}`);
-      });
-
-      command.on("error", (err) => {
-        logger.error("transcribe error", err.message);
-        reject(err);
-      });
-
-      command.on("close", (code) => {
-        if (code === 0 && fs.pathExistsSync(outputFile)) {
-          resolve(fs.readJson(outputFile));
-        } else {
-          reject(new Error("Transcription failed"));
-        }
-      });
-    });
-  }
-
-  abort() {
-    this.abortController?.abort();
-  }
-
-  registerIpcHandlers() {
-    ipcMain.handle("whisper-config", async () => {
-      await this.initialize();
-      return this.config;
-    });
-
-    ipcMain.handle("whisper-set-model", async (_event, model) => {
-      const originalModel = this.config.model;
-      this.config.model = model;
-
-      return this.check()
-        .then(({ success, log }) => {
-          if (success) {
-            return Object.assign({}, this.config, { ready: true });
-          } else {
-            throw new Error(log);
-          }
-        })
-        .catch((err) => {
-          this.config.model = originalModel;
-          throw err;
-        })
-        .finally(() => {
-          UserSetting.set(UserSettingKeyEnum.WHISPER, this.config.model);
-        });
-    });
-
-    ipcMain.handle("whisper-check", async (_event) => {
-      return await this.check();
-    });
-
-    ipcMain.handle("whisper-transcribe", async (event, params, options) => {
-      return this.transcribe(params, {
-        ...options,
-        onProgress: (progress) => {
-          event.sender.send("whisper-on-progress", progress);
-        },
-      })
-        .then((result) => {
-          return result;
-        })
-        .catch((err) => {
-          logger.error(err);
-          throw t("whisperTranscribeFailed", { error: err.message });
-        });
-    });
-
-    ipcMain.handle("whisper-abort", async (_event) => {
-      return await this.abort();
-    });
-  }
-}
-
-export default new Whipser();
--- a/enjoy/src/main/window.ts
+++ b/enjoy/src/main/window.ts
@@ -12,7 +12,6 @@ import path from "path";
 import db from "@main/db";
 import settings from "@main/settings";
 import downloader from "@main/downloader";
-import whisper from "@main/whisper";
 import fs from "fs-extra";
 import log from "@main/logger";
 import { REPO_URL, WS_URL } from "@/constants";
@@ -62,9 +61,6 @@ main.init = async () => {
  // echogarden
  echogarden.registerIpcHandlers();

-  // Whisper
-  whisper.registerIpcHandlers();
-
  // Waveform
  waveform.registerIpcHandlers();

@@ -411,7 +407,6 @@ ${log}
      segments: path.join(settings.userDataPath(), "segments"),
      speeches: path.join(settings.userDataPath(), "speeches"),
      recordings: path.join(settings.userDataPath(), "recordings"),
-      whisper: path.join(settings.libraryPath(), "whisper"),
      waveforms: path.join(settings.libraryPath(), "waveforms"),
      logs: path.join(settings.libraryPath(), "logs"),
      cache: settings.cachePath(),
--- a/enjoy/src/preload.ts
+++ b/enjoy/src/preload.ts
@@ -3,6 +3,7 @@
 import { contextBridge, ipcRenderer, IpcRendererEvent } from "electron";
 import { version } from "../package.json";
 import { Timeline } from "echogarden/dist/utilities/Timeline";
+import { RecognitionOptions } from "echogarden/dist/api/API";

 contextBridge.exposeInMainWorld("__ENJOY_APP__", {
  app: {
@@ -472,6 +473,9 @@ contextBridge.exposeInMainWorld("__ENJOY_APP__", {
    },
  },
  echogarden: {
+    recognize: (input: string, options: RecognitionOptions) => {
+      return ipcRenderer.invoke("echogarden-recognize", input, options);
+    },
    align: (input: string, transcript: string, options: any) => {
      return ipcRenderer.invoke("echogarden-align", input, transcript, options);
    },
@@ -502,42 +506,6 @@ contextBridge.exposeInMainWorld("__ENJOY_APP__", {
      return ipcRenderer.invoke("echogarden-check");
    },
  },
-  whisper: {
-    config: () => {
-      return ipcRenderer.invoke("whisper-config");
-    },
-    setModel: (model: string) => {
-      return ipcRenderer.invoke("whisper-set-model", model);
-    },
-    check: () => {
-      return ipcRenderer.invoke("whisper-check");
-    },
-    transcribe: (
-      params: {
-        file?: string;
-        blob?: {
-          type: string;
-          arrayBuffer: ArrayBuffer;
-        };
-      },
-      options?: {
-        language?: string;
-        force?: boolean;
-        extra?: string[];
-      }
-    ) => {
-      return ipcRenderer.invoke("whisper-transcribe", params, options);
-    },
-    onProgress: (
-      callback: (event: IpcRendererEvent, progress: number) => void
-    ) => ipcRenderer.on("whisper-on-progress", callback),
-    abort: () => {
-      return ipcRenderer.invoke("whisper-abort");
-    },
-    removeProgressListeners: () => {
-      ipcRenderer.removeAllListeners("whisper-on-progress");
-    },
-  },
  ffmpeg: {
    check: () => {
      return ipcRenderer.invoke("ffmpeg-check-command");
--- a/enjoy/src/renderer/components/medias/media-left-panel/media-transcription-generate-button.tsx
+++ b/enjoy/src/renderer/components/medias/media-left-panel/media-transcription-generate-button.tsx
@@ -79,6 +79,7 @@ export const MediaTranscriptionGenerateButton = (props: {
                generateTranscription({
                  originalText: data.text,
                  language: data.language,
+                  model: data.model,
                  service: data.service as SttEngineOptionEnum | "upload",
                  isolate: data.isolate,
                })
--- a/enjoy/src/renderer/components/medias/media-loading-modal.tsx
+++ b/enjoy/src/renderer/components/medias/media-loading-modal.tsx
@@ -69,6 +69,7 @@ const LoadingContent = () => {
                generateTranscription({
                  originalText: data.text,
                  language: data.language,
+                  model: data.model,
                  service: data.service as SttEngineOptionEnum | "upload",
                  isolate: data.isolate,
                });
--- a/enjoy/src/renderer/components/preferences/index.ts
+++ b/enjoy/src/renderer/components/preferences/index.ts
@@ -28,7 +28,6 @@ export * from "./theme-settings";

 export * from "./proxy-settings";

-export * from "./whisper-model-options";
 export * from "./network-state";

 export * from "./recorder-settings";
--- a/enjoy/src/renderer/components/preferences/stt-settings.tsx
+++ b/enjoy/src/renderer/components/preferences/stt-settings.tsx
@@ -6,7 +6,6 @@ import {
  DialogContent,
  DialogHeader,
  DialogDescription,
-  DialogFooter,
  toast,
  Select,
  SelectTrigger,
@@ -14,29 +13,26 @@ import {
  SelectItem,
  SelectValue,
 } from "@renderer/components/ui";
-import { WhisperModelOptions } from "@renderer/components";
 import {
  AppSettingsProviderContext,
  AISettingsProviderContext,
 } from "@renderer/context";
-import { useContext, useEffect, useState } from "react";
-import { InfoIcon, AlertCircleIcon } from "lucide-react";
+import { useContext, useState } from "react";
+import { AlertCircleIcon } from "lucide-react";
 import { SttEngineOptionEnum } from "@/types/enums";
+import { WHISPER_MODELS } from "@/constants";

 export const WhisperSettings = () => {
-  const { sttEngine, whisperConfig, refreshWhisperConfig, setSttEngine } =
-    useContext(AISettingsProviderContext);
+  const { sttEngine, whisperModel, setWhisperModel, setSttEngine } = useContext(
+    AISettingsProviderContext
+  );
  const { EnjoyApp } = useContext(AppSettingsProviderContext);
  const [stderr, setStderr] = useState("");

-  useEffect(() => {
-    refreshWhisperConfig();
-  }, []);
-
  const handleCheck = async () => {
    toast.promise(
      async () => {
-        const { success, log } = await EnjoyApp.whisper.check();
+        const { success, log } = await EnjoyApp.echogarden.check();
        if (success) {
          setStderr("");
          return Promise.resolve();
@@ -98,46 +94,28 @@ export const WhisperSettings = () => {
          </SelectContent>
        </Select>

-        {sttEngine === "local" && (
+        {sttEngine === SttEngineOptionEnum.LOCAL && (
          <>
+            <Select
+              value={whisperModel}
+              onValueChange={(value) => {
+                setWhisperModel(value);
+              }}
+            >
+              <SelectTrigger className="min-w-fit">
+                <SelectValue placeholder="service"></SelectValue>
+              </SelectTrigger>
+              <SelectContent>
+                {WHISPER_MODELS.map((model) => (
+                  <SelectItem key={model} value={model}>
+                    {model}
+                  </SelectItem>
+                ))}
+              </SelectContent>
+            </Select>
            <Button onClick={handleCheck} variant="secondary" size="sm">
              {t("check")}
            </Button>
-            <Dialog>
-              <DialogTrigger asChild>
-                <Button variant="secondary" size="sm">
-                  {t("model")}
-                </Button>
-              </DialogTrigger>
-              <DialogContent>
-                <DialogHeader>{t("sttAiService")}</DialogHeader>
-                <DialogDescription>
-                  {t("chooseAIModelDependingOnYourHardware")}
-                </DialogDescription>
-
-                <WhisperModelOptions />
-
-                <DialogFooter>
-                  <div className="text-xs flex items-start space-x-2">
-                    <InfoIcon className="mr-1.5 w-4 h-4" />
-                    <span className="flex-1 opacity-70">
-                      {t("yourModelsWillBeDownloadedTo", {
-                        path: whisperConfig.modelsPath,
-                      })}
-                    </span>
-                    <Button
-                      onClick={() => {
-                        EnjoyApp.shell.openPath(whisperConfig?.modelsPath);
-                      }}
-                      variant="outline"
-                      size="sm"
-                    >
-                      {t("open")}
-                    </Button>
-                  </div>
-                </DialogFooter>
-              </DialogContent>
-            </Dialog>
          </>
        )}
      </div>
--- a/enjoy/src/renderer/components/preferences/whisper-model-options.tsx
+++ b/enjoy/src/renderer/components/preferences/whisper-model-options.tsx
@@ -1,196 +0,0 @@
-import {
-  AlertDialog,
-  AlertDialogTitle,
-  AlertDialogHeader,
-  AlertDialogFooter,
-  AlertDialogDescription,
-  AlertDialogContent,
-  AlertDialogAction,
-  AlertDialogCancel,
-  Button,
-  ScrollArea,
-  toast,
-  Progress,
-} from "@renderer/components/ui";
-import { t } from "i18next";
-import { CheckCircle, DownloadIcon, XCircleIcon } from "lucide-react";
-import { WHISPER_MODELS_OPTIONS } from "@/constants";
-import { useState, useContext, useEffect } from "react";
-import {
-  AppSettingsProviderContext,
-  AISettingsProviderContext,
-} from "@renderer/context";
-
-type ModelType = {
-  type: string;
-  name: string;
-  size: string;
-  url: string;
-  downloaded?: boolean;
-  downloadState?: DownloadStateType;
-};
-
-export const WhisperModelOptions = () => {
-  const [selectingModel, setSelectingModel] = useState<ModelType | null>(null);
-  const [availableModels, setAvailableModels] = useState<ModelType[]>([]);
-  const { EnjoyApp } = useContext(AppSettingsProviderContext);
-  const { whisperConfig, setWhisperModel } = useContext(
-    AISettingsProviderContext
-  );
-
-  useEffect(() => {
-    updateAvailableModels();
-  }, []);
-
-  useEffect(() => {
-    listenToDownloadState();
-
-    return () => {
-      EnjoyApp.download.removeAllListeners();
-    };
-  }, [selectingModel]);
-
-  const updateAvailableModels = async () => {
-    const models = whisperConfig.availableModels;
-    const options: ModelType[] = WHISPER_MODELS_OPTIONS;
-
-    options.forEach((o) => {
-      o.downloaded = models.findIndex((m) => m.name === o.name) > -1;
-    });
-    setAvailableModels(options);
-  };
-
-  const downloadModel = async () => {
-    if (!selectingModel) return;
-
-    const model = WHISPER_MODELS_OPTIONS.find(
-      (m) => m.name === selectingModel.name
-    );
-
-    EnjoyApp.download.start(model.url, whisperConfig.modelsPath);
-
-    setSelectingModel(null);
-  };
-
-  const listenToDownloadState = () => {
-    EnjoyApp.download.onState((_event, state) => {
-      const model = availableModels.find((m) => m.name === state.name);
-      if (!model) return;
-
-      if (model) {
-        model.downloadState = state;
-      }
-      if (state.state === "completed") {
-        model.downloaded = true;
-        setWhisperModel(model.name);
-      } else if (state.state === "cancelled" || state.state === "interrupted") {
-        model.downloaded = false;
-        model.downloadState = null;
-      }
-
-      setAvailableModels([...availableModels]);
-    });
-  };
-
-  return (
-    <>
-      <ScrollArea className="max-h-96">
-        {availableModels.map((option) => {
-          return (
-            <div key={option.name}>
-              <div
-                className={`cursor-pointer hover:bg-secondary px-4 py-2 rounded ${
-                  whisperConfig.model === option.name ? "bg-secondary" : ""
-                }`}
-                onClick={() => {
-                  if (option.downloaded) {
-                    toast.promise(setWhisperModel(option.name), {
-                      loading: t("checkingWhisperModel"),
-                      success: t("whisperModelIsWorkingGood"),
-                      error: t("whisperModelIsNotWorking"),
-                    });
-                  } else if (!option.downloadState) {
-                    setSelectingModel(option);
-                  }
-                }}
-              >
-                <div className="flex justify-between">
-                  <div className="font-semibold">{option.type}</div>
-                  {option.downloaded ? (
-                    <CheckCircle
-                      className={`w-4 ${
-                        whisperConfig.model === option.name
-                          ? "text-green-500"
-                          : ""
-                      }`}
-                    />
-                  ) : (
-                    <DownloadIcon className="w-4 opacity-70" />
-                  )}
-                </div>
-                <div className="text-sm opacity-70 flex justify-between">
-                  <span>{option.name}</span>
-                  <span>~{option.size}</span>
-                </div>
-              </div>
-
-              {!option.downloaded && option.downloadState && (
-                <div className="flex items-center space-x-2 py-2 px-4">
-                  <Progress
-                    className="h-1"
-                    value={
-                      (option.downloadState.received /
-                        option.downloadState.total) *
-                      100
-                    }
-                  />
-                  <Button
-                    onClick={() => {
-                      toast.promise(
-                        EnjoyApp.download.cancel(option.downloadState.name),
-                        {
-                          loading: t("cancelling"),
-                          success: t("cancelled"),
-                        }
-                      );
-                    }}
-                    className=""
-                    variant="ghost"
-                    size="icon"
-                  >
-                    <XCircleIcon className="w-4 h-4" />
-                  </Button>
-                </div>
-              )}
-            </div>
-          );
-        })}
-      </ScrollArea>
-
-      <AlertDialog open={!!selectingModel}>
-        <AlertDialogContent>
-          <AlertDialogHeader>
-            <AlertDialogTitle>{t("download")}</AlertDialogTitle>
-            <AlertDialogDescription>
-              {t("areYouSureToDownload", {
-                name: `${selectingModel?.name}(${selectingModel?.size})`,
-              })}
-            </AlertDialogDescription>
-          </AlertDialogHeader>
-          <AlertDialogFooter>
-            <AlertDialogCancel
-              onClick={() => {
-                setSelectingModel(null);
-              }}
-            >
-              {t("cancel")}
-            </AlertDialogCancel>
-            <AlertDialogAction onClick={() => downloadModel()}>
-              {t("download")}
-            </AlertDialogAction>
-          </AlertDialogFooter>
-        </AlertDialogContent>
-      </AlertDialog>
-    </>
-  );
-};
--- a/enjoy/src/renderer/components/transcriptions/transcription-create-form.tsx
+++ b/enjoy/src/renderer/components/transcriptions/transcription-create-form.tsx
@@ -30,7 +30,7 @@ import {
  toast,
 } from "@renderer/components/ui";
 import { t } from "i18next";
-import { LANGUAGES } from "@/constants";
+import { LANGUAGES, WHISPER_MODELS } from "@/constants";
 import { ChevronDownIcon, ChevronUpIcon, LoaderIcon } from "lucide-react";
 import { parseText } from "media-captions";
 import { milisecondsToTimestamp } from "@/utils";
@@ -39,6 +39,7 @@ import { SttEngineOptionEnum } from "@/types/enums";
 const transcriptionSchema = z.object({
  language: z.string(),
  service: z.union([z.nativeEnum(SttEngineOptionEnum), z.literal("upload")]),
+  model: z.string().optional(),
  text: z.string().optional(),
  isolate: z.boolean().optional(),
 });
@@ -60,13 +61,14 @@ export const TranscriptionCreateForm = (props: {
    originalText,
  } = props;
  const { learningLanguage } = useContext(AppSettingsProviderContext);
-  const { sttEngine } = useContext(AISettingsProviderContext);
+  const { sttEngine, whisperModel } = useContext(AISettingsProviderContext);

  const form = useForm<z.infer<typeof transcriptionSchema>>({
    resolver: zodResolver(transcriptionSchema),
    values: {
      language: learningLanguage,
      service: originalText ? "upload" : sttEngine,
+      model: sttEngine === SttEngineOptionEnum.LOCAL ? whisperModel : "",
      text: originalText,
      isolate: false,
    },
@@ -197,6 +199,35 @@ export const TranscriptionCreateForm = (props: {
            </FormItem>
          )}
        />
+
+        {form.watch("service") === SttEngineOptionEnum.LOCAL && (
+          <FormField
+            control={form.control}
+            name="model"
+            render={({ field }) => (
+              <FormItem className="grid w-full items-center">
+                <FormLabel>{t("model")}</FormLabel>
+                <Select
+                  disabled={transcribing}
+                  value={field.value}
+                  onValueChange={field.onChange}
+                >
+                  <SelectTrigger>
+                    <SelectValue />
+                  </SelectTrigger>
+                  <SelectContent>
+                    {WHISPER_MODELS.map((model) => (
+                      <SelectItem key={model} value={model}>
+                        {model}
+                      </SelectItem>
+                    ))}
+                  </SelectContent>
+                </Select>
+              </FormItem>
+            )}
+          />
+        )}
+
        <FormField
          control={form.control}
          name="language"
--- a/enjoy/src/renderer/context/ai-settings-provider.tsx
+++ b/enjoy/src/renderer/context/ai-settings-provider.tsx
@@ -5,13 +5,13 @@ import {
 } from "@renderer/context";
 import { SttEngineOptionEnum, UserSettingKeyEnum } from "@/types/enums";
 import { GPT_PROVIDERS, TTS_PROVIDERS } from "@renderer/components";
+import { WHISPER_MODELS } from "@/constants";

 type AISettingsProviderState = {
-  setWhisperModel?: (name: string) => Promise<void>;
  sttEngine?: SttEngineOptionEnum;
  setSttEngine?: (name: string) => Promise<void>;
-  whisperConfig?: WhisperConfigType;
-  refreshWhisperConfig?: () => void;
+  whisperModel?: string;
+  setWhisperModel?: (name: string) => void;
  openai?: LlmProviderType;
  setOpenai?: (config: LlmProviderType) => void;
  setGptEngine?: (engine: GptEngineSettingType) => void;
@@ -38,7 +38,7 @@ export const AISettingsProvider = ({
    },
  });
  const [openai, setOpenai] = useState<LlmProviderType>(null);
-  const [whisperConfig, setWhisperConfig] = useState<WhisperConfigType>(null);
+  const [whisperModel, setWhisperModel] = useState<string>(null);
  const [sttEngine, setSttEngine] = useState<SttEngineOptionEnum>(
    SttEngineOptionEnum.ENJOY_AZURE
  );
@@ -87,6 +87,44 @@ export const AISettingsProvider = ({
    setTtsProviders({ ...providers });
  };

+  const refreshWhisperModel = async () => {
+    const whisperModel = await EnjoyApp.userSettings.get(
+      UserSettingKeyEnum.WHISPER
+    );
+    if (WHISPER_MODELS.includes(whisperModel)) {
+      setWhisperModel(whisperModel);
+    } else {
+      let model = "tiny";
+      if (whisperModel.match(/tiny/)) {
+        model = "tiny";
+      } else if (whisperModel.match(/base/)) {
+        model = "base";
+      } else if (whisperModel.match(/small/)) {
+        model = "small";
+      } else if (whisperModel.match(/medium/)) {
+        model = "medium";
+      } else if (whisperModel.match(/large/)) {
+        model = "large-v3-turbo";
+      }
+
+      if (
+        learningLanguage.match(/en/) &&
+        model.match(/tiny|base|small|medium/)
+      ) {
+        model = `${model}.en`;
+      }
+
+      setWhisperModel(model);
+    }
+  };
+
+  const handleSetWhisperModel = async (name: string) => {
+    if (WHISPER_MODELS.includes(name)) {
+      setWhisperModel(name);
+      EnjoyApp.userSettings.set(UserSettingKeyEnum.WHISPER, name);
+    }
+  };
+
  useEffect(() => {
    refreshGptProviders();
    refreshTtsProviders();
@@ -101,22 +139,8 @@ export const AISettingsProvider = ({
  useEffect(() => {
    if (db.state !== "connected") return;
    if (!libraryPath) return;
-
-    refreshWhisperConfig();
  }, [db.state, libraryPath]);

-  const refreshWhisperConfig = async () => {
-    const config = await EnjoyApp.whisper.config();
-    setWhisperConfig(config);
-  };
-
-  const setWhisperModel = async (name: string) => {
-    return EnjoyApp.whisper.setModel(name).then((config) => {
-      if (!config) return;
-      setWhisperConfig(config);
-    });
-  };
-
  const handleSetSttEngine = async (name: SttEngineOptionEnum) => {
    setSttEngine(name);
    return EnjoyApp.userSettings.set(UserSettingKeyEnum.STT_ENGINE, name);
@@ -165,6 +189,8 @@ export const AISettingsProvider = ({
          setGptEngine(engine);
        });
    }
+
+    refreshWhisperModel();
  };

  const handleSetOpenai = async (config: LlmProviderType) => {
@@ -208,9 +234,8 @@ export const AISettingsProvider = ({
              },
        openai,
        setOpenai: (config: LlmProviderType) => handleSetOpenai(config),
-        whisperConfig,
-        refreshWhisperConfig,
-        setWhisperModel,
+        whisperModel,
+        setWhisperModel: handleSetWhisperModel,
        sttEngine,
        setSttEngine: (name: SttEngineOptionEnum) => handleSetSttEngine(name),
        gptProviders,
--- a/enjoy/src/renderer/context/media-shadow-provider.tsx
+++ b/enjoy/src/renderer/context/media-shadow-provider.tsx
@@ -62,6 +62,7 @@ type MediaShadowContextType = {
  generateTranscription: (params?: {
    originalText?: string;
    language?: string;
+    model?: string;
    service?: SttEngineOptionEnum | "upload";
    isolate?: boolean;
  }) => Promise<void>;
--- a/enjoy/src/renderer/hooks/use-transcribe.tsx
+++ b/enjoy/src/renderer/hooks/use-transcribe.tsx
@@ -11,14 +11,14 @@ import axios from "axios";
 import { useAiCommand } from "./use-ai-command";
 import { toast } from "@renderer/components/ui";
 import {
-  Timeline,
  TimelineEntry,
  type TimelineEntryType,
 } from "echogarden/dist/utilities/Timeline";
-import take from "lodash/take";
-import sortedUniqBy from "lodash/sortedUniqBy";
 import { parseText } from "media-captions";
 import { SttEngineOptionEnum } from "@/types/enums";
+import { RecognitionResult } from "echogarden/dist/api/API.js";
+import take from "lodash/take";
+import sortedUniqBy from "lodash/sortedUniqBy";

 // test a text string has any punctuations or not
 // some transcribed text may not have any punctuations
@@ -26,7 +26,7 @@ const punctuationsPattern = /\w[.,!?](\s|$)/g;

 export const useTranscribe = () => {
  const { EnjoyApp, user, webApi } = useContext(AppSettingsProviderContext);
-  const { openai } = useContext(AISettingsProviderContext);
+  const { openai, whisperModel } = useContext(AISettingsProviderContext);
  const { punctuateText } = useAiCommand();
  const [output, setOutput] = useState<string>("");

@@ -47,6 +47,7 @@ export const useTranscribe = () => {
    params?: {
      targetId?: string;
      targetType?: string;
+      model?: string;
      originalText?: string;
      language: string;
      service: SttEngineOptionEnum | "upload";
@@ -64,6 +65,7 @@ export const useTranscribe = () => {
  }> => {
    const url = await transcode(mediaSrc);
    const {
+      model,
      targetId,
      targetType,
      originalText,
@@ -75,34 +77,11 @@ export const useTranscribe = () => {
    const blob = await (await fetch(url)).blob();

    let result: any;
-    let timeline: Timeline = [];
+
    if (service === "upload" && originalText) {
-      const caption = await parseText(originalText, { type: "srt" });
-      if (caption.cues.length > 0) {
-        timeline = caption.cues.map((cue) => {
-          return {
-            type: "sentence",
-            text: cue.text,
-            startTime: cue.startTime,
-            endTime: cue.endTime,
-            timeline: [],
-          };
-        });
-        result = {
-          engine: "upload",
-          model: "-",
-          text: timeline.map((entry) => entry.text).join(" "),
-          timeline,
-        };
-      } else {
-        result = {
-          engine: "upload",
-          model: "-",
-          text: originalText,
-        };
-      }
+      result = await alignText(originalText);
    } else if (service === SttEngineOptionEnum.LOCAL) {
-      result = await transcribeByLocal(url, language);
+      result = await transcribeByLocal(url, { language, model });
    } else if (service === SttEngineOptionEnum.ENJOY_CLOUDFLARE) {
      result = await transcribeByCloudflareAi(blob);
    } else if (service === SttEngineOptionEnum.OPENAI) {
@@ -121,67 +100,47 @@ export const useTranscribe = () => {
      );
    }

-    let transcript = result.text;
-    if (!align) {
+    const { segmentTimeline, transcript } = result;
+
+    if (!align && transcript) {
      return {
        ...result,
-        transcript,
-        url,
+        timeline: [],
      };
    }

-    /*
-     * if timeline is available and the transcript contains punctuations
-     * use `alignSegments` to align each sentence with the timeline
-     * otherwise, use `align` to align the whole transcript
-     * if the transcript does not contain any punctuation, use AI command to add punctuation
-     */
-    if (result.timeline?.length && transcript.match(punctuationsPattern)) {
-      timeline = [...result.timeline];
-      setOutput("Aligning the transcript...");
+    if (segmentTimeline && segmentTimeline.length > 0) {
      const wordTimeline = await EnjoyApp.echogarden.alignSegments(
        new Uint8Array(await blob.arrayBuffer()),
-        timeline,
+        segmentTimeline,
        {
-          language,
+          language: language.split("-")[0],
          isolate,
        }
      );
-      timeline = await EnjoyApp.echogarden.wordToSentenceTimeline(
+
+      const timeline = await EnjoyApp.echogarden.wordToSentenceTimeline(
        wordTimeline,
        transcript,
        language.split("-")[0]
      );
-    } else {
-      // Remove all content inside `()`, `[]`, `{}` and trim the text
-      // remove all markdown formatting
-      transcript = transcript
-        .replace(/\(.*?\)/g, "")
-        .replace(/\[.*?\]/g, "")
-        .replace(/\{.*?\}/g, "")
-        .replace(/[*_`]/g, "")
-        .trim();
-
-      // if the transcript does not contain any punctuation, use AI command to add punctuation
-      if (!transcript.match(punctuationsPattern)) {
-        try {
-          transcript = await punctuateText(transcript);
-        } catch (err) {
-          toast.error(err.message);
-          console.warn(err.message);
-        }
-      }

+      return {
+        ...result,
+        timeline,
+      };
+    } else if (transcript) {
      setOutput("Aligning the transcript...");
      const alignmentResult = await EnjoyApp.echogarden.align(
        new Uint8Array(await blob.arrayBuffer()),
        transcript,
        {
-          language,
+          language: language.split("-")[0],
          isolate,
        }
      );

+      const timeline: TimelineEntry[] = [];
      alignmentResult.timeline.forEach((t: TimelineEntry) => {
        if (t.type === "sentence") {
          timeline.push(t);
@@ -191,74 +150,120 @@ export const useTranscribe = () => {
          });
        }
      });
-    }

-    return {
-      ...result,
-      originalText,
-      transcript,
-      timeline,
-      url,
-    };
+      return {
+        ...result,
+        timeline,
+      };
+    } else {
+      throw new Error(t("transcribeFailed"));
+    }
+  };
+
+  const alignText = async (
+    originalText: string
+  ): Promise<{
+    engine: string;
+    model: string;
+    transcript: string;
+    segmentTimeline: TimelineEntry[];
+  }> => {
+    const caption = await parseText(originalText, { type: "srt" });
+
+    if (caption.cues.length > 0) {
+      // valid srt file
+      const segmentTimeline = caption.cues.map((cue) => {
+        return {
+          type: "segment",
+          text: cue.text,
+          startTime: cue.startTime,
+          endTime: cue.endTime,
+          timeline: [],
+        } as TimelineEntry;
+      });
+
+      return {
+        engine: "upload",
+        model: "-",
+        transcript: segmentTimeline.map((entry) => entry.text).join(" "),
+        segmentTimeline,
+      };
+    } else {
+      // Remove all content inside `()`, `[]`, `{}` and trim the text
+      // remove all markdown formatting
+      let transcript = originalText
+        .replace(/\(.*?\)/g, "")
+        .replace(/\[.*?\]/g, "")
+        .replace(/\{.*?\}/g, "")
+        .replace(/[*_`]/g, "")
+        .trim();
+
+      // if the transcript does not contain any punctuation, use AI command to add punctuation
+      if (!transcript.match(punctuationsPattern)) {
+        try {
+          const punctuatedText = await punctuateText(transcript);
+          transcript = punctuatedText;
+        } catch (err) {
+          toast.error(err.message);
+          console.warn(err);
+        }
+      }
+
+      return {
+        engine: "upload",
+        model: "-",
+        transcript,
+        segmentTimeline: [],
+      };
+    }
  };

  const transcribeByLocal = async (
    url: string,
-    language?: string
+    options: { language: string; model?: string }
  ): Promise<{
    engine: string;
    model: string;
-    text: string;
-    timeline: TimelineEntry[];
+    transcript: string;
+    segmentTimeline: TimelineEntry[];
  }> => {
-    const res = await EnjoyApp.whisper.transcribe(
-      {
-        file: url,
-      },
-      {
-        language,
-        force: true,
-        extra: ["--prompt", `"Hello! Welcome to listen to this audio."`],
-      }
-    );
-
-    if (!res) {
-      throw new Error(t("whisperTranscribeFailed", { error: "" }));
+    let { language, model = whisperModel } = options || {};
+    const languageCode = language.split("-")[0];
+    if (model.match(/en/) && languageCode !== "en") {
+      model = model.replace(".en", "");
    }

-    const timeline: TimelineEntry[] = res.transcription
-      .map((segment) => {
-        // ignore the word if it is empty or in the format of `[xxx]` or `(xxx)`
-        if (
-          !segment.text.trim() ||
-          segment.text.trim().match(/^[\[\(].+[\]\)]$/)
-        ) {
-          return null;
-        }
+    let res: RecognitionResult;
+    try {
+      res = await EnjoyApp.echogarden.recognize(url, {
+        engine: "whisper",
+        language: languageCode,
+        whisper: {
+          model,
+        },
+      });
+    } catch (err) {
+      throw new Error(t("whisperTranscribeFailed", { error: err.message }));
+    }

-        return {
-          type: "segment" as TimelineEntryType,
-          text: segment.text.trim(),
-          startTime: segment.offsets.from / 1000.0,
-          endTime: segment.offsets.to / 1000.0,
-        };
-      })
-      .filter((s) => Boolean(s?.text));
-
-    const transcript = timeline
-      .map((segment) => segment.text)
-      .join(" ")
-      .trim();
+    const { transcript, timeline } = res;

    return {
      engine: "whisper",
-      model: res.model.type,
-      text: transcript,
-      timeline,
+      model,
+      transcript,
+      segmentTimeline: timeline,
    };
  };

-  const transcribeByOpenAi = async (file: File) => {
+  const transcribeByOpenAi = async (
+    file: File
+  ): Promise<{
+    engine: string;
+    model: string;
+    transcript: string;
+    segmentTimeline: TimelineEntry[];
+  }> => {
    if (!openai?.key) {
      throw new Error(t("openaiKeyRequired"));
    }
@@ -270,38 +275,39 @@ export const useTranscribe = () => {
      maxRetries: 0,
    });

-    const res: {
-      text: string;
-      words?: { word: string; start: number; end: number }[];
-      segments?: { text: string; start: number; end: number }[];
-    } = (await client.audio.transcriptions.create({
-      file,
-      model: "whisper-1",
-      response_format: "verbose_json",
-      timestamp_granularities: ["segment"],
-    })) as any;
+    setOutput("Transcribing from OpenAI...");
+    try {
+      const res: {
+        text: string;
+        words?: { word: string; start: number; end: number }[];
+        segments?: { text: string; start: number; end: number }[];
+      } = (await client.audio.transcriptions.create({
+        file,
+        model: "whisper-1",
+        response_format: "verbose_json",
+        timestamp_granularities: ["word", "segment"],
+      })) as any;

-    let timeline: TimelineEntry[] = [];
-    if (res.segments) {
-      res.segments.forEach((segment) => {
-        const segmentTimeline = {
+      setOutput("Aligning the transcript...");
+      const segmentTimeline = (res.segments || []).map((segment) => {
+        return {
          type: "segment" as TimelineEntryType,
          text: segment.text,
          startTime: segment.start,
          endTime: segment.end,
-          timeline: [] as Timeline,
+          timeline: [] as TimelineEntry[],
        };
-
-        timeline.push(segmentTimeline);
      });
-    }

-    return {
-      engine: "openai",
-      model: "whisper-1",
-      text: res.text,
-      timeline,
-    };
+      return {
+        engine: "openai",
+        model: "whisper-1",
+        transcript: res.text,
+        segmentTimeline,
+      };
+    } catch (err) {
+      throw new Error(t("openaiTranscribeFailed", { error: err.message }));
+    }
  };

  const transcribeByCloudflareAi = async (
@@ -309,35 +315,47 @@ export const useTranscribe = () => {
  ): Promise<{
    engine: string;
    model: string;
-    text: string;
-    timeline?: TimelineEntry[];
+    transcript: string;
+    segmentTimeline: TimelineEntry[];
  }> => {
-    const res: CfWhipserOutputType = (
-      await axios.postForm(`${AI_WORKER_ENDPOINT}/audio/transcriptions`, blob, {
-        headers: {
-          Authorization: `Bearer ${user.accessToken}`,
-        },
-        timeout: 1000 * 60 * 5,
-      })
-    ).data;
+    setOutput("Transcribing from Cloudflare...");
+    try {
+      const res: CfWhipserOutputType = (
+        await axios.postForm(
+          `${AI_WORKER_ENDPOINT}/audio/transcriptions`,
+          blob,
+          {
+            headers: {
+              Authorization: `Bearer ${user.accessToken}`,
+            },
+            timeout: 1000 * 60 * 5,
+          }
+        )
+      ).data;
+
+      const segmentTimeline: TimelineEntry[] = [];
+      if (res.vtt) {
+        const caption = await parseText(res.vtt, { type: "vtt" });
+        for (const cue of caption.cues) {
+          segmentTimeline.push({
+            type: "segment",
+            text: cue.text,
+            startTime: cue.startTime,
+            endTime: cue.endTime,
+            timeline: [],
+          });
+        }
+      }

-    const caption = await parseText(res.vtt, { type: "vtt" });
-    const timeline: Timeline = caption.cues.map((cue) => {
      return {
-        type: "segment",
-        text: cue.text,
-        startTime: cue.startTime,
-        endTime: cue.endTime,
-        timeline: [],
+        engine: "cloudflare",
+        model: "@cf/openai/whisper",
+        transcript: res.text,
+        segmentTimeline,
      };
-    });
-
-    return {
-      engine: "cloudflare",
-      model: "@cf/openai/whisper",
-      text: res.text,
-      timeline,
-    };
+    } catch (err) {
+      throw new Error(t("cloudflareTranscribeFailed", { error: err.message }));
+    }
  };

  const transcribeByAzureAi = async (
@@ -350,9 +368,9 @@ export const useTranscribe = () => {
  ): Promise<{
    engine: string;
    model: string;
-    text: string;
+    transcript: string;
+    segmentTimeline: TimelineEntry[];
    tokenId: number;
-    timeline?: TimelineEntry[];
  }> => {
    const { id, token, region } = await webApi.generateSpeechToken({
      ...params,
@@ -364,90 +382,92 @@ export const useTranscribe = () => {
    config.speechRecognitionLanguage = language;
    config.requestWordLevelTimestamps();
    config.outputFormat = sdk.OutputFormat.Detailed;
+    config.setProfanity(sdk.ProfanityOption.Raw);

    // create the speech recognizer.
    const reco = new sdk.SpeechRecognizer(config, audioConfig);

+    setOutput("Transcribing from Azure...");
    let results: SpeechRecognitionResultType[] = [];

-    const res: {
-      engine: string;
-      model: string;
-      text: string;
-      tokenId: number;
-      timeline?: TimelineEntry[];
-    } = await new Promise((resolve, reject) => {
-      reco.recognizing = (_s, e) => {
-        setOutput(e.result.text);
-      };
+    const { transcript, segmentTimeline }: any = await new Promise(
+      (resolve, reject) => {
+        reco.recognizing = (_s, e) => {
+          setOutput((prev) => prev + e.result.text);
+        };

-      reco.recognized = (_s, e) => {
-        const json = e.result.properties.getProperty(
-          sdk.PropertyId.SpeechServiceResponse_JsonResult
-        );
-        const result = JSON.parse(json);
-        results = results.concat(result);
-      };
+        reco.recognized = (_s, e) => {
+          const json = e.result.properties.getProperty(
+            sdk.PropertyId.SpeechServiceResponse_JsonResult
+          );
+          const result = JSON.parse(json);
+          results = results.concat(result);
+        };

-      reco.canceled = (_s, e) => {
-        if (e.reason === sdk.CancellationReason.Error) {
-          return reject(new Error(e.errorDetails));
-        }
+        reco.canceled = (_s, e) => {
+          if (e.reason === sdk.CancellationReason.Error) {
+            return reject(new Error(e.errorDetails));
+          }

-        reco.stopContinuousRecognitionAsync();
-        console.log("CANCELED: Reason=" + e.reason);
-      };
+          reco.stopContinuousRecognitionAsync();
+          console.log("CANCELED: Reason=" + e.reason);
+        };

-      reco.sessionStopped = async (_s, e) => {
-        console.log(
-          "Session stopped. Stop continuous recognition.",
-          e.sessionId,
-          results
-        );
-        reco.stopContinuousRecognitionAsync();
+        reco.sessionStopped = async (_s, e) => {
+          console.log(
+            "Session stopped. Stop continuous recognition.",
+            e.sessionId,
+            results
+          );
+          reco.stopContinuousRecognitionAsync();

-        try {
-          const timeline: Timeline = [];
-          results.forEach((result) => {
-            if (!result.DisplayText) return;
+          if (results.length === 0) {
+            return reject(t("azureTranscribeFailed", { error: "" }));
+          }

-            const best = take(sortedUniqBy(result.NBest, "Confidence"), 1)[0];
-            if (!best.Words) return;
-            if (!best.Confidence || best.Confidence < 0.5) return;
+          try {
+            const transcript = results
+              .map((result) => result.DisplayText)
+              .join(" ");
+            const segmentTimeline: TimelineEntry[] = [];
+            results.forEach((result) => {
+              if (!result.DisplayText) return;

-            const firstWord = best.Words[0];
-            const lastWord = best.Words[best.Words.length - 1];
+              const best = take(sortedUniqBy(result.NBest, "Confidence"), 1)[0];
+              if (!best.Words) return;
+              if (!best.Confidence || best.Confidence < 0.5) return;

-            timeline.push({
-              type: "sentence",
-              text: best.Display,
-              startTime: firstWord.Offset / 10000000.0,
-              endTime: (lastWord.Offset + lastWord.Duration) / 10000000.0,
-              timeline: [],
+              const firstWord = best.Words[0];
+              const lastWord = best.Words[best.Words.length - 1];
+
+              segmentTimeline.push({
+                type: "segment",
+                text: best.Display,
+                startTime: firstWord.Offset / 10000000.0,
+                endTime: (lastWord.Offset + lastWord.Duration) / 10000000.0,
+                timeline: [],
+              });
            });
-          });

-          const transcript = timeline
-            .map((result) => result.text)
-            .join(" ")
-            .trim();
+            resolve({
+              transcript,
+              segmentTimeline,
+            });
+          } catch (err) {
+            reject(t("azureTranscribeFailed", { error: err.message }));
+          }
+        };
+        reco.startContinuousRecognitionAsync();
+      }
+    );

-          resolve({
-            engine: "azure",
-            model: "whisper",
-            text: transcript,
-            timeline,
-            tokenId: id,
-          });
-        } catch (err) {
-          reject(err);
-        }
-      };
-
-      reco.startContinuousRecognitionAsync();
-    });
-
-    return res;
+    return {
+      engine: "azure",
+      model: "whisper",
+      transcript,
+      segmentTimeline,
+      tokenId: id,
+    };
  };

  return {
--- a/enjoy/src/renderer/hooks/use-transcriptions.tsx
+++ b/enjoy/src/renderer/hooks/use-transcriptions.tsx
@@ -107,6 +107,7 @@ export const useTranscriptions = (media: AudioType | VideoType) => {
  const generateTranscription = async (params?: {
    originalText?: string;
    language?: string;
+    model?: string;
    service?: SttEngineOptionEnum | "upload";
    isolate?: boolean;
  }) => {
@@ -114,6 +115,7 @@ export const useTranscriptions = (media: AudioType | VideoType) => {
      originalText,
      language = learningLanguage,
      service = sttEngine,
+      model,
      isolate = false,
    } = params || {};
    setService(service);
@@ -279,26 +281,17 @@ export const useTranscriptions = (media: AudioType | VideoType) => {
  useEffect(() => {
    if (!transcribing) return;

-    if (service === "local") {
-      EnjoyApp.whisper.onProgress((_, p: number) => {
-        if (p > 100) p = 100;
-        setTranscribingProgress(p);
-      });
-    }
-
    EnjoyApp.app.onCmdOutput((_, output) => {
      setTranscribingOutput(output);
    });

    return () => {
-      EnjoyApp.whisper.removeProgressListeners();
      EnjoyApp.app.removeCmdOutputListeners();
      setTranscribingOutput(null);
    };
  }, [media, service, transcribing]);

  const abortGenerateTranscription = () => {
-    EnjoyApp.whisper.abort();
    setTranscribing(false);
  };

--- a/enjoy/src/types/enjoy-app.d.ts
+++ b/enjoy/src/types/enjoy-app.d.ts
@@ -273,6 +273,10 @@ type EnjoyAppType = {
    ) => Promise<SpeechType>;
  };
  echogarden: {
+    recognize: (
+      input: string,
+      options: RecognitionOptions
+    ) => Promise<RecognitionResult>;
    align: (
      input: string | Uint8Array,
      transcript: string,
@@ -289,26 +293,7 @@ type EnjoyAppType = {
      language: string
    ) => Promise<Timeline>;
    transcode: (input: string) => Promise<string>;
-    check: () => Promise<boolean>;
-  };
-  whisper: {
-    config: () => Promise<WhisperConfigType>;
-    check: () => Promise<{ success: boolean; log: string }>;
-    setModel: (model: string) => Promise<WhisperConfigType>;
-    transcribe: (
-      params: {
-        file?: string;
-        blob?: { type: string; arrayBuffer: ArrayBuffer };
-      },
-      options?: {
-        language?: string;
-        force?: boolean;
-        extra?: string[];
-      }
-    ) => Promise<Partial<WhisperOutputType>>;
-    onProgress: (callback: (event, progress: number) => void) => void;
-    abort: () => Promise<void>;
-    removeProgressListeners: () => Promise<void>;
+    check: (options?: any) => Promise<{ success: boolean; log: string }>;
  };
  ffmpeg: {
    check: () => Promise<boolean>;
--- a/enjoy/src/types/index.d.ts
+++ b/enjoy/src/types/index.d.ts
@@ -235,3 +235,26 @@ type DictSettingType = {
  removing: string[];
  mdicts: MDict[];
 };
+
+type TranscribeParamsType = {
+  mediaSrc: string | Blob;
+  params?: {
+    targetId?: string;
+    targetType?: string;
+    originalText?: string;
+    language: string;
+    service: SttEngineOptionEnum | "upload";
+    isolate?: boolean;
+    align?: boolean;
+  };
+};
+
+type TranscribeResultType = {
+  engine: string;
+  model: string;
+  transcript: string;
+  timeline: TimelineEntry[];
+  originalText?: string;
+  tokenId?: number;
+  url: string;
+};
--- a/enjoy/vite.main.config.ts
+++ b/enjoy/vite.main.config.ts
@@ -44,16 +44,6 @@ export default defineConfig((env) => {
      pluginHotRestart("restart"),
      viteStaticCopy({
        targets: [
-          {
-            src: `lib/whisper.cpp/${
-              process.env.PACKAGE_OS_ARCH || os.arch()
-            }/${os.platform()}/*`,
-            dest: "lib/whisper",
-          },
-          {
-            src: `lib/whisper.cpp/models/*`,
-            dest: "lib/whisper/models",
-          },
          {
            src: `lib/youtubedr/${
              process.env.PACKAGE_OS_ARCH || os.arch()
--- a/yarn.lock
+++ b/yarn.lock
@@ -32,10 +32,10 @@ __metadata:
    "@nuxtjs/seo": "npm:^2.0.0-rc.23"
    autoprefixer: "npm:^10.4.20"
    nuxt: "npm:^3.13.2"
-    nuxt-og-image: "npm:^3.0.4"
+    nuxt-og-image: "npm:^3.0.6"
    postcss: "npm:^8.4.47"
    sass: "npm:^1.79.5"
-    tailwindcss: "npm:^3.4.13"
+    tailwindcss: "npm:^3.4.14"
    vue: "npm:^3.5.12"
    vue-router: "npm:^4.4.5"
  languageName: unknown
@@ -363,7 +363,7 @@ __metadata:
  languageName: node
  linkType: hard

-"@aws-sdk/client-polly@npm:^3.669.0":
+"@aws-sdk/client-polly@npm:^3.670.0":
  version: 3.670.0
  resolution: "@aws-sdk/client-polly@npm:3.670.0"
  dependencies:
@@ -622,9 +622,9 @@ __metadata:
  languageName: node
  linkType: hard

-"@aws-sdk/client-transcribe-streaming@npm:^3.669.0":
-  version: 3.670.0
-  resolution: "@aws-sdk/client-transcribe-streaming@npm:3.670.0"
+"@aws-sdk/client-transcribe-streaming@npm:^3.672.0":
+  version: 3.672.0
+  resolution: "@aws-sdk/client-transcribe-streaming@npm:3.672.0"
  dependencies:
    "@aws-crypto/sha256-browser": "npm:5.2.0"
    "@aws-crypto/sha256-js": "npm:5.2.0"
@@ -674,7 +674,7 @@ __metadata:
    "@smithy/util-retry": "npm:^3.0.7"
    "@smithy/util-utf8": "npm:^3.0.0"
    tslib: "npm:^2.6.2"
-  checksum: 10c0/24952fb07dddce9c82cb8082fd7382681e980d01a072b64278aa9c4d3e20b36b345ad813d4f890d902b3f34fcfc9c252c37f7af165e0e2b40c520cb797ad1852
+  checksum: 10c0/8470177bcf36036a76db9567e01d747c7db5e4977cacee4577a1864da64cda069fd96971829e61a28fb98da34e07de55c0cb6e202443edb7d1504e72dcc53782
  languageName: node
  linkType: hard

@@ -2380,17 +2380,6 @@ __metadata:
  languageName: node
  linkType: hard

-"@es-joy/jsdoccomment@npm:^0.46.0":
-  version: 0.46.0
-  resolution: "@es-joy/jsdoccomment@npm:0.46.0"
-  dependencies:
-    comment-parser: "npm:1.4.1"
-    esquery: "npm:^1.6.0"
-    jsdoc-type-pratt-parser: "npm:~4.0.0"
-  checksum: 10c0/a7a67936ebf6d9aaf74af018c3ac744769af3552b05ad9b88fca96b2ffdca16e724b0ff497f53634ec4cca81e98d8c471b6b6bde0fa5b725af4222ad9a0707f0
-  languageName: node
-  linkType: hard
-
 "@esbuild/aix-ppc64@npm:0.20.2":
  version: 0.20.2
  resolution: "@esbuild/aix-ppc64@npm:0.20.2"
@@ -3839,7 +3828,7 @@ __metadata:
  languageName: node
  linkType: hard

-"@nuxt/devtools-kit@npm:1.6.0, @nuxt/devtools-kit@npm:^1.4.1, @nuxt/devtools-kit@npm:^1.4.2, @nuxt/devtools-kit@npm:^1.5.1":
+"@nuxt/devtools-kit@npm:1.6.0, @nuxt/devtools-kit@npm:^1.4.1, @nuxt/devtools-kit@npm:^1.4.2, @nuxt/devtools-kit@npm:^1.5.1, @nuxt/devtools-kit@npm:^1.6.0":
  version: 1.6.0
  resolution: "@nuxt/devtools-kit@npm:1.6.0"
  dependencies:
@@ -4670,14 +4659,14 @@ __metadata:
  languageName: node
  linkType: hard

-"@playwright/test@npm:^1.48.0":
-  version: 1.48.0
-  resolution: "@playwright/test@npm:1.48.0"
+"@playwright/test@npm:^1.48.1":
+  version: 1.48.1
+  resolution: "@playwright/test@npm:1.48.1"
  dependencies:
-    playwright: "npm:1.48.0"
+    playwright: "npm:1.48.1"
  bin:
    playwright: cli.js
-  checksum: 10c0/595a5db99f75d1ffce11df2980ca0dd20523a0a20dd962e4256e536dddccca0138883ae2e9c82aaa26094fb50def73062badc14c001d20fb62a3a0b2df18ebca
+  checksum: 10c0/32cedc3b2d375cb8f4a830bc820d7726b0235be7a6202e1d6ee46e739b83666271c47c100c11311cf5a916468c18e6a4dc526accf9ef090786e7614c2633b2b8
  languageName: node
  linkType: hard

@@ -6056,10 +6045,10 @@ __metadata:
  languageName: node
  linkType: hard

-"@rails/actioncable@npm:7.2.100":
-  version: 7.2.100
-  resolution: "@rails/actioncable@npm:7.2.100"
-  checksum: 10c0/dc24fcd1a9f153e5550c691ddff5ea7d3d7589a3be39cf14991d3fb6e77d1d952dbf9ab5f00c9781f85e750d94f7a80ade3231ab284b008d6de311ed33b21cb9
+"@rails/actioncable@npm:7.2.101":
+  version: 7.2.101
+  resolution: "@rails/actioncable@npm:7.2.101"
+  checksum: 10c0/5917b0d5c51c8b38bb33532fd6483937d6bf030add46e2bca0272aed5b5b43ceec881f8c89a9784b416cb86a2655198f0faac4929a67caa4812ed622346cdc90
  languageName: node
  linkType: hard

@@ -8048,7 +8037,7 @@ __metadata:
  languageName: node
  linkType: hard

-"@unocss/preset-wind@npm:^0.63.1":
+"@unocss/preset-wind@npm:^0.63.1, @unocss/preset-wind@npm:^0.63.4":
  version: 0.63.4
  resolution: "@unocss/preset-wind@npm:0.63.4"
  dependencies:
@@ -9748,12 +9737,12 @@ __metadata:
  languageName: node
  linkType: hard

-"chart.js@npm:^4.4.4":
-  version: 4.4.4
-  resolution: "chart.js@npm:4.4.4"
+"chart.js@npm:^4.4.5":
+  version: 4.4.5
+  resolution: "chart.js@npm:4.4.5"
  dependencies:
    "@kurkle/color": "npm:^0.3.0"
-  checksum: 10c0/9fa3206403a6103916f7762c2665d322c42b0cc07fba91526b1d033ddb887c1ba74b3ebc0bd0748a9e55abd1017f25fdb2292cdd6579d8c2d3bcb1c58f71281c
+  checksum: 10c0/042393725d1dc6a7fc55757abc5db88cbce0e84ad115c08d552af56d72197e806eb78e04253d12a5f0cf331a57a059dc30fc2dab9324e4f695806b3a087d1b0c
  languageName: node
  linkType: hard

@@ -10251,13 +10240,6 @@ __metadata:
  languageName: node
  linkType: hard

-"comment-parser@npm:1.4.1":
-  version: 1.4.1
-  resolution: "comment-parser@npm:1.4.1"
-  checksum: 10c0/d6c4be3f5be058f98b24f2d557f745d8fe1cc9eb75bebbdccabd404a0e1ed41563171b16285f593011f8b6a5ec81f564fb1f2121418ac5cbf0f49255bf0840dd
-  languageName: node
-  linkType: hard
-
 "commondir@npm:^1.0.1":
  version: 1.0.1
  resolution: "commondir@npm:1.0.1"
@@ -11725,12 +11707,12 @@ __metadata:
  languageName: node
  linkType: hard

-"echogarden@npm:^1.8.1":
-  version: 1.8.1
-  resolution: "echogarden@npm:1.8.1"
+"echogarden@npm:^1.8.4":
+  version: 1.8.4
+  resolution: "echogarden@npm:1.8.4"
  dependencies:
-    "@aws-sdk/client-polly": "npm:^3.669.0"
-    "@aws-sdk/client-transcribe-streaming": "npm:^3.669.0"
+    "@aws-sdk/client-polly": "npm:^3.670.0"
+    "@aws-sdk/client-transcribe-streaming": "npm:^3.672.0"
    "@echogarden/espeak-ng-emscripten": "npm:^0.1.2"
    "@echogarden/fasttext-wasm": "npm:^0.1.0"
    "@echogarden/flite-wasi": "npm:^0.1.1"
@@ -11760,7 +11742,7 @@ __metadata:
    jsdom: "npm:^25.0.1"
    json5: "npm:^2.2.3"
    kuromoji: "npm:^0.1.2"
-    microsoft-cognitiveservices-speech-sdk: "npm:^1.40.0"
+    microsoft-cognitiveservices-speech-sdk: "npm:^1.41.0"
    moving-median: "npm:^1.0.0"
    msgpack-lite: "npm:^0.1.26"
    onnxruntime-node: "npm:^1.19.2"
@@ -11975,16 +11957,16 @@ __metadata:
  languageName: node
  linkType: hard

-"electron@npm:^32.2.0":
-  version: 32.2.0
-  resolution: "electron@npm:32.2.0"
+"electron@npm:^33.0.1":
+  version: 33.0.1
+  resolution: "electron@npm:33.0.1"
  dependencies:
    "@electron/get": "npm:^2.0.0"
    "@types/node": "npm:^20.9.0"
    extract-zip: "npm:^2.0.1"
  bin:
    electron: cli.js
-  checksum: 10c0/28d988a9d05c89e93d70cc790bd53ecc97135cc3fa9efe3617f10b87cdf85ada468d383afd7858bcf8f064aa189ea7f8987e32c7ebaac70bda64e8f9f85621e8
+  checksum: 10c0/cd5e5cef21df2d5e1ffc95cfe90397c984152db54ac1032deb97f1716f778d41f5fa7c83e42bc86ae3c509a6d45f578515a540b6453ebf818310cc303e95f083
  languageName: node
  linkType: hard

@@ -12123,7 +12105,7 @@ __metadata:
    "@langchain/core": "npm:^0.3.11"
    "@langchain/ollama": "npm:^0.1.0"
    "@mozilla/readability": "npm:^0.5.0"
-    "@playwright/test": "npm:^1.48.0"
+    "@playwright/test": "npm:^1.48.1"
    "@radix-ui/react-accordion": "npm:^1.2.1"
    "@radix-ui/react-alert-dialog": "npm:^1.1.2"
    "@radix-ui/react-aspect-ratio": "npm:^1.1.0"
@@ -12148,7 +12130,7 @@ __metadata:
    "@radix-ui/react-toast": "npm:^1.2.2"
    "@radix-ui/react-toggle": "npm:^1.1.0"
    "@radix-ui/react-tooltip": "npm:^1.1.3"
-    "@rails/actioncable": "npm:7.2.100"
+    "@rails/actioncable": "npm:7.2.101"
    "@tailwindcss/typography": "npm:^0.5.15"
    "@types/ahoy.js": "npm:^0.4.2"
    "@types/autosize": "npm:^4.0.3"
@@ -12180,7 +12162,7 @@ __metadata:
    axios: "npm:^1.7.7"
    camelcase: "npm:^8.0.0"
    camelcase-keys: "npm:^9.1.3"
-    chart.js: "npm:^4.4.4"
+    chart.js: "npm:^4.4.5"
    cheerio: "npm:^1.0.0"
    class-variance-authority: "npm:^0.7.0"
    clsx: "npm:^2.1.1"
@@ -12192,8 +12174,8 @@ __metadata:
    dayjs: "npm:^1.11.13"
    decamelize: "npm:^6.0.0"
    decamelize-keys: "npm:^2.0.1"
-    echogarden: "npm:^1.8.1"
-    electron: "npm:^32.2.0"
+    echogarden: "npm:^1.8.4"
+    electron: "npm:^33.0.1"
    electron-context-menu: "npm:^4.0.4"
    electron-devtools-installer: "npm:^3.2.0"
    electron-log: "npm:^5.2.0"
@@ -12215,9 +12197,9 @@ __metadata:
    langchain: "npm:^0.3.2"
    lodash: "npm:^4.17.21"
    lru-cache: "npm:^11.0.1"
-    lucide-react: "npm:^0.452.0"
+    lucide-react: "npm:^0.453.0"
    mark.js: "npm:^8.11.1"
-    microsoft-cognitiveservices-speech-sdk: "npm:^1.40.0"
+    microsoft-cognitiveservices-speech-sdk: "npm:^1.41.0"
    mustache: "npm:^4.2.0"
    next-themes: "npm:^0.3.0"
    octokit: "npm:^4.0.2"
@@ -12251,10 +12233,10 @@ __metadata:
    tailwind-merge: "npm:^2.5.4"
    tailwind-scrollbar: "npm:^3.1.0"
    tailwind-scrollbar-hide: "npm:^1.1.7"
-    tailwindcss: "npm:^3.4.13"
+    tailwindcss: "npm:^3.4.14"
    tailwindcss-animate: "npm:^1.0.7"
    ts-node: "npm:^10.9.2"
-    tslib: "npm:^2.7.0"
+    tslib: "npm:^2.8.0"
    typescript: "npm:^5.6.3"
    umzug: "npm:^3.8.2"
    unzipper: "npm:^0.12.3"
@@ -12925,7 +12907,7 @@ __metadata:
  languageName: node
  linkType: hard

-"esquery@npm:^1.5.0, esquery@npm:^1.6.0":
+"esquery@npm:^1.5.0":
  version: 1.6.0
  resolution: "esquery@npm:1.6.0"
  dependencies:
@@ -15652,13 +15634,6 @@ __metadata:
  languageName: node
  linkType: hard

-"jsdoc-type-pratt-parser@npm:~4.0.0":
-  version: 4.0.0
-  resolution: "jsdoc-type-pratt-parser@npm:4.0.0"
-  checksum: 10c0/b23ef7bbbe2f56d72630d1c5a233dc9fecaff399063d373c57bef136908c1b05e723dac107177303c03ccf8d75aa51507510b282aa567600477479c5ea0c36d1
-  languageName: node
-  linkType: hard
-
 "jsdom@npm:^25.0.1":
  version: 25.0.1
  resolution: "jsdom@npm:25.0.1"
@@ -16367,12 +16342,12 @@ __metadata:
  languageName: node
  linkType: hard

-"lucide-react@npm:^0.452.0":
-  version: 0.452.0
-  resolution: "lucide-react@npm:0.452.0"
+"lucide-react@npm:^0.453.0":
+  version: 0.453.0
+  resolution: "lucide-react@npm:0.453.0"
  peerDependencies:
    react: ^16.5.1 || ^17.0.0 || ^18.0.0 || ^19.0.0-rc
-  checksum: 10c0/8e8dd351dfcdffc65a3a76eba04f08310fb13c8fce3e2cab74246c72df45d37e467d521b36053298fb33fe1c5c4770be4750eefa224ae5cf6258dffe95c72da1
+  checksum: 10c0/eec257049609eff958329943da6e129c8db1969aa789c6e922f59418d7b6f6913c22e971ac7885efc80eeb3e41e180c48afdee92738a63a31ef5a39836037b7e
  languageName: node
  linkType: hard

@@ -16395,7 +16370,7 @@ __metadata:
  languageName: node
  linkType: hard

-"magic-string@npm:^0.30.0, magic-string@npm:^0.30.10, magic-string@npm:^0.30.11, magic-string@npm:^0.30.3, magic-string@npm:^0.30.4, magic-string@npm:^0.30.8":
+"magic-string@npm:^0.30.0, magic-string@npm:^0.30.10, magic-string@npm:^0.30.11, magic-string@npm:^0.30.12, magic-string@npm:^0.30.3, magic-string@npm:^0.30.4, magic-string@npm:^0.30.8":
  version: 0.30.12
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-  resolution: "microsoft-cognitiveservices-speech-sdk@npm:1.40.0"
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+  resolution: "nuxt-og-image@npm:3.0.6"
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+    satori: "npm:^0.11.2"
+    satori-html: "npm:^0.3.2"
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+    std-env: "npm:^3.7.0"
+    strip-literal: "npm:^2.1.0"
+    ufo: "npm:^1.5.4"
+    unplugin: "npm:^1.14.1"
+    unwasm: "npm:^0.3.9"
+    yoga-wasm-web: "npm:^0.3.3"
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  resolution: "nuxt-schema-org@npm:3.4.0"
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+  resolution: "playwright-core@npm:1.48.1"
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-"playwright@npm:1.48.0":
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-  resolution: "playwright@npm:1.48.0"
+"playwright@npm:1.48.1":
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+  resolution: "playwright@npm:1.48.1"
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-    playwright-core: "npm:1.48.0"
+    playwright-core: "npm:1.48.1"
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+  resolution: "sirv@npm:3.0.0"
+  dependencies:
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+    mrmime: "npm:^2.0.0"
+    totalist: "npm:^3.0.0"
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  resolution: "sisteransi@npm:1.0.5"
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-"tailwindcss@npm:^3.4.13":
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-  resolution: "tailwindcss@npm:3.4.13"
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+  resolution: "tailwindcss@npm:3.4.14"
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    arg: "npm:^5.0.2"
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    tailwindcss: lib/cli.js
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  resolution: "tunnel-agent@npm:0.6.0"