08-19-1051, chapter 3.2.2

1000-hours/public/jupyter-notebooks/edge-tts-valcab-pronounciation.ipynb

@@ -29,7 +29,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 9,
+   "execution_count": 19,
    "id": "71d35cd9",
    "metadata": {},
    "outputs": [
@@ -38,9 +38,12 @@
      "output_type": "stream",
      "text": [
       "['en-US-GuyNeural', 'en-US-AriaNeural']\n",
-      "big\n",
-      "../audios/big-stop-us-male.mp3 created\n",
-      "../audios/big-stop-us-female.mp3 created\n"
+      "manhatten\n",
+      "../audios/manhatten-us-male.mp3 created\n",
+      "../audios/manhatten-us-female.mp3 created\n",
+      " newton\n",
+      "../audios/newton-us-male.mp3 created\n",
+      "../audios/newton-us-female.mp3 created\n"
      ]
     }
    ],
@@ -85,7 +88,7 @@
     "    print(voices)\n",
     "\n",
     "words = \"\"\"\n",
-    "big\n",
+    "\n",
     "\"\"\"\n",
     "\n",
     "for word in words.strip().split(','):\n",
@@ -93,8 +96,8 @@
     "    for i, voice in enumerate(voices):\n",
     "        w = word.strip().lower()\n",
     "        if len(w) > 0:\n",
-    "            filename = f'../audios/{w}-stop-{regions[i]}-{genders[i]}.mp3'\n",
-    "            await generate_edge_tts_audio(w, filename, voice=voice, verbose=True, overwrite=False, play=True)\n"
+    "            filename = f'../audios/{w}-{regions[i]}-{genders[i]}.mp3'\n",
+    "            await generate_edge_tts_audio(w, filename, voice=voice, verbose=True, overwrite=True, play=True)\n"
    ]
   },
   {