{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "b94f103d-ac43-4d13-83cb-eb5090220881",
   "metadata": {},
   "source": [
    "# EdgeTTS\n",
    "\n",
    "https://github.com/rany2/edge-tts\n",
    "\n",
    "edge-tts is a Python module that allows you to use Microsoft Edge's online text-to-speech service from within your Python code or using the provided edge-tts or edge-playback command."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "77deb08f-fec3-4327-b2f9-1c893aacaddc",
   "metadata": {
    "collapsed": true,
    "jupyter": {
     "outputs_hidden": true
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Requirement already satisfied: edge-tts in /opt/homebrew/Caskroom/miniconda/base/lib/python3.12/site-packages (6.1.10)\n",
      "Requirement already satisfied: aiohttp>=3.8.0 in /opt/homebrew/Caskroom/miniconda/base/lib/python3.12/site-packages (from edge-tts) (3.9.3)\n",
      "Requirement already satisfied: certifi>=2023.11.17 in /opt/homebrew/Caskroom/miniconda/base/lib/python3.12/site-packages (from edge-tts) (2024.2.2)\n",
      "Requirement already satisfied: aiosignal>=1.1.2 in /opt/homebrew/Caskroom/miniconda/base/lib/python3.12/site-packages (from aiohttp>=3.8.0->edge-tts) (1.3.1)\n",
      "Requirement already satisfied: attrs>=17.3.0 in /opt/homebrew/Caskroom/miniconda/base/lib/python3.12/site-packages (from aiohttp>=3.8.0->edge-tts) (23.2.0)\n",
      "Requirement already satisfied: frozenlist>=1.1.1 in /opt/homebrew/Caskroom/miniconda/base/lib/python3.12/site-packages (from aiohttp>=3.8.0->edge-tts) (1.4.1)\n",
      "Requirement already satisfied: multidict<7.0,>=4.5 in /opt/homebrew/Caskroom/miniconda/base/lib/python3.12/site-packages (from aiohttp>=3.8.0->edge-tts) (6.0.5)\n",
      "Requirement already satisfied: yarl<2.0,>=1.0 in /opt/homebrew/Caskroom/miniconda/base/lib/python3.12/site-packages (from aiohttp>=3.8.0->edge-tts) (1.9.4)\n",
      "Requirement already satisfied: idna>=2.0 in /opt/homebrew/Caskroom/miniconda/base/lib/python3.12/site-packages (from yarl<2.0,>=1.0->aiohttp>=3.8.0->edge-tts) (3.4)\n",
      "Requirement already satisfied: pygame in /opt/homebrew/Caskroom/miniconda/base/lib/python3.12/site-packages (2.5.2)\n"
     ]
    }
   ],
   "source": [
    "!pip install edge-tts\n",
    "!pip install pygame"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "9aad6634-e833-4ec4-b285-84e051329712",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "pygame 2.5.2 (SDL 2.28.3, Python 3.12.1)\n",
      "Hello from the pygame community. https://www.pygame.org/contribute.html\n",
      "Files created!\n"
     ]
    }
   ],
   "source": [
    "import asyncio\n",
    "import edge_tts\n",
    "import pygame\n",
    "\n",
    "TEXT = \"\"\"\n",
    "cup, father, head, hat, above, mother, bird, sheep, ship, horse, blue, foot, day, eye, boy, nose, mouth, ear, hair, pure, fire, hour\n",
    "\"\"\"\n",
    "\n",
    "Wordlist = TEXT.split(\",\")\n",
    "\n",
    "for w in Wordlist:\n",
    "  for VOICE in ['en-US-GuyNeural', 'en-GB-RyanNeural']:\n",
    "  # for VOICE in ['en-US-GuyNeural']:\n",
    "    w = w.strip()\n",
    "    OUTPUT_FILE = f\"{w.replace(' ', '-').replace('?', '')}-{VOICE[3:5].replace('GB', 'UK').lower()}.mp3\"\n",
    "    communicate = edge_tts.Communicate(w, VOICE)\n",
    "    await communicate.save(OUTPUT_FILE) \n",
    "\n",
    "print(\"Files created!\") "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "1e54069c-db63-45ba-86e8-726730b19255",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Files created!\n"
     ]
    }
   ],
   "source": [
    "import asyncio\n",
    "import edge_tts\n",
    "import pygame\n",
    "\n",
    "TEXT = \"happy\"\n",
    "Wordlist = TEXT.split(\",\")\n",
    "\n",
    "for w in Wordlist:\n",
    "  for VOICE in ['zh-CN-YunxiNeural', 'zh-CN-XiaoxiaoNeural']:\n",
    "    w = w.strip()\n",
    "    OUTPUT_FILE = f\"{w}-{VOICE.replace('YunxiNeural', 'male').replace('XiaoxiaoNeural', 'female').lower()}.mp3\"\n",
    "    communicate = edge_tts.Communicate(w, VOICE)\n",
    "    await communicate.save(OUTPUT_FILE) \n",
    "\n",
    "print(\"Files created!\") "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "09d5ab47-5807-4ded-a8b9-45277831d425",
   "metadata": {},
   "outputs": [],
   "source": [
    "# VOICE = \"en-US-GuyNeural\" # Male\n",
    "# VOICE = \"en-US-AnaNeural\" # Female\n",
    "# VOICE = \"en-US-AndrewNeural\" # Male\n",
    "# VOICE = \"en-US-AriaNeural\" # Female\n",
    "# VOICE = \"en-US-AvaNeural\" # Female\n",
    "# VOICE = \"en-US-BrianNeural\" # Male\n",
    "# VOICE = \"en-US-ChristopherNeural\" # Male\n",
    "# VOICE = \"en-US-EmmaNeural\" # Female\n",
    "# VOICE = \"en-US-EricNeural\" # Male\n",
    "# VOICE = \"en-US-GuyNeural\" # Male\n",
    "# VOICE = \"en-US-JennyNeural\" # Female\n",
    "# VOICE = \"en-US-MichelleNeural\" # Female\n",
    "# VOICE = \"en-US-RogerNeural\" # Male\n",
    "# VOICE = \"en-US-SteffanNeural\" # Male\n",
    "# VOICE = \"en-GB-LibbyNeural\" # Female\n",
    "# VOICE = \"en-GB-MaisieNeural\" # Female\n",
    "# VOICE = \"en-GB-RyanNeural\" # Male\n",
    "# VOICE = \"en-GB-SoniaNeural\" # Female\n",
    "# VOICE = \"en-GB-ThomasNeural\" # Male\n",
    "# VOICE = \"en-AU-NatashaNeural\" # Female\n",
    "# VOICE = \"en-AU-WilliamNeural\" # Male\n",
    "# VOICE = \"en-CA-ClaraNeural\" # Female\n",
    "# VOICE = \"en-CA-LiamNeural\" # Male\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "862f0948",
   "metadata": {},
   "outputs": [],
   "source": [
    "pygame.mixer.init()\n",
    "pygame.mixer.music.load(OUTPUT_FILE)\n",
    "pygame.mixer.music.play()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "00939422-fbf9-4842-b82a-b6106624c075",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Files created!\n"
     ]
    }
   ],
   "source": [
    "#American\n",
    "\n",
    "import asyncio\n",
    "import edge_tts\n",
    "import pygame\n",
    "\n",
    "TEXT = \"hands\"\n",
    "Wordlist = TEXT.split(\",\")\n",
    "\n",
    "for w in Wordlist:\n",
    "  # for VOICE in ['en-US-GuyNeural', 'en-US-JennyNeural', 'en-GB-RyanNeural', 'en-GB-SoniaNeural']:\n",
    "  for VOICE in ['en-US-GuyNeural', 'en-US-MichelleNeural']:\n",
    "    w = w.strip()\n",
    "    # OUTPUT_FILE = f\"{w}-{VOICE.replace('EricNeural', 'Guy-Male').replace('JennyNeural', 'Jenny-Female').replace('RyanNeural', 'Ryan-Male').replace('SoniaNeural', 'Sonia-Female').lower()}.mp3\"\n",
    "    OUTPUT_FILE = f\"{w}-{VOICE.replace('EricNeural', 'Male').replace('MichelleNeural', 'Female').replace('en-', '').lower()}.mp3\"\n",
    "    communicate = edge_tts.Communicate(w, VOICE)\n",
    "    await communicate.save(OUTPUT_FILE) \n",
    "\n",
    "print(\"Files created!\") "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "cecefa85-b37d-457e-9e99-e582dabdfb9f",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Files created!\n"
     ]
    }
   ],
   "source": [
    "#American Sentence\n",
    "\n",
    "import asyncio\n",
    "import edge_tts\n",
    "import pygame\n",
    "\n",
    "TEXT = \"cat,foot\"\n",
    "Wordlist = TEXT.split(\",\")\n",
    "\n",
    "for w in Wordlist:\n",
    "  # for VOICE in ['en-US-GuyNeural', 'en-US-JennyNeural', 'en-GB-RyanNeural', 'en-GB-SoniaNeural']:\n",
    "  for VOICE in ['en-US-EricNeural', 'en-US-MichelleNeural']:\n",
    "    w = w.strip().replace(' ', '-')\n",
    "    # OUTPUT_FILE = f\"{w}-{VOICE.replace('EricNeural', 'Guy-Male').replace('JennyNeural', 'Jenny-Female').replace('RyanNeural', 'Ryan-Male').replace('SoniaNeural', 'Sonia-Female').lower()}.mp3\"\n",
    "    OUTPUT_FILE = f\"{w}-{VOICE.replace('EricNeural', 'Male').replace('MichelleNeural', 'Female').replace('en-', '').lower()}.mp3\"\n",
    "    communicate = edge_tts.Communicate(w, VOICE)\n",
    "    await communicate.save(OUTPUT_FILE) \n",
    "\n",
    "print(\"Files created!\") "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "93f68a91-7e6b-45ef-932e-533b695e4ac1",
   "metadata": {},
   "outputs": [],
   "source": [
    "# ru-RU-DmitryNeural\n",
    "# ko-KR-InJoonNeural"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 51,
   "id": "474c3f39-11ed-4d0a-b039-63df8b270044",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Files created!\n"
     ]
    }
   ],
   "source": [
    "# British\n",
    "\n",
    "import asyncio\n",
    "import edge_tts\n",
    "import pygame\n",
    "\n",
    "TEXT = \"speak, student, school, frustrate\"\n",
    "Wordlist = TEXT.split(\",\")\n",
    "\n",
    "for w in Wordlist:\n",
    "  # for VOICE in ['en-US-GuyNeural', 'en-US-JennyNeural', 'en-GB-RyanNeural', 'en-GB-SoniaNeural']:\n",
    "  for VOICE in ['en-GB-RyanNeural', 'en-GB-SoniaNeural']:\n",
    "    w = w.strip()\n",
    "    # OUTPUT_FILE = f\"{w}-{VOICE.replace('EricNeural', 'Guy-Male').replace('JennyNeural', 'Jenny-Female').replace('RyanNeural', 'Ryan-Male').replace('SoniaNeural', 'Sonia-Female').lower()}.mp3\"\n",
    "    OUTPUT_FILE = f\"{w}-{VOICE.replace('RyanNeural', 'Male').replace('SoniaNeural', 'Female').replace('en-GB-', 'uk-').lower()}.mp3\"\n",
    "    communicate = edge_tts.Communicate(w, VOICE)\n",
    "    await communicate.save(OUTPUT_FILE) \n",
    "\n",
    "print(\"Files created!\") "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 49,
   "id": "42ecfe3f-f3ac-4fb7-92d0-795d51972051",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Files created!\n"
     ]
    }
   ],
   "source": [
    "#Korean\n",
    "\n",
    "import asyncio\n",
    "import edge_tts\n",
    "import pygame\n",
    "\n",
    "TEXT = \"photo, video\"\n",
    "Wordlist = TEXT.split(\",\")\n",
    "\n",
    "for w in Wordlist:\n",
    "  # for VOICE in ['en-US-GuyNeural', 'en-US-JennyNeural', 'en-GB-RyanNeural', 'en-GB-SoniaNeural']:\n",
    "  for VOICE in ['ko-KR-InJoonNeural']:\n",
    "    w = w.strip()\n",
    "    # OUTPUT_FILE = f\"{w}-{VOICE.replace('EricNeural', 'Guy-Male').replace('JennyNeural', 'Jenny-Female').replace('RyanNeural', 'Ryan-Male').replace('SoniaNeural', 'Sonia-Female').lower()}.mp3\"\n",
    "    OUTPUT_FILE = f\"{w}-{VOICE.replace('InJoonNeural', 'kr').replace('SoniaNeural', 'Female').replace('ko-KR', 'ko').lower()}.mp3\"\n",
    "    communicate = edge_tts.Communicate(w, VOICE)\n",
    "    await communicate.save(OUTPUT_FILE) \n",
    "\n",
    "print(\"Files created!\") "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 55,
   "id": "95b12e63-f92d-49b4-bd51-a2b9d059fd52",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Files created!\n"
     ]
    }
   ],
   "source": [
    "#Chinese\n",
    "\n",
    "import asyncio\n",
    "import edge_tts\n",
    "import pygame\n",
    "\n",
    "TEXT = \"room\"\n",
    "Wordlist = TEXT.split(\",\")\n",
    "\n",
    "for w in Wordlist:\n",
    "  # for VOICE in ['en-US-GuyNeural', 'en-US-JennyNeural', 'en-GB-RyanNeural', 'en-GB-SoniaNeural']:\n",
    "  for VOICE in ['zh-CN-liaoning-XiaobeiNeural']:\n",
    "    w = w.strip()\n",
    "    # OUTPUT_FILE = f\"{w}-{VOICE.replace('EricNeural', 'Guy-Male').replace('JennyNeural', 'Jenny-Female').replace('RyanNeural', 'Ryan-Male').replace('SoniaNeural', 'Sonia-Female').lower()}.mp3\"\n",
    "    OUTPUT_FILE = f\"{w}-{VOICE.replace('liaoning-XiaobeiNeural', 'zh').replace('SoniaNeural', 'Female').replace('zh-CN', 'cn').lower()}.mp3\"\n",
    "    communicate = edge_tts.Communicate(w, VOICE)\n",
    "    await communicate.save(OUTPUT_FILE) \n",
    "\n",
    "print(\"Files created!\") "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "2128587f-e6c8-488d-8c40-6c958b9c735e",
   "metadata": {},
   "outputs": [],
   "source": []
  }
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