everyone-can-use-english/1000-hours/public/jupyter-notebooks/edge-tts-valcab-pronounciation.ipynb

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   "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."
   ]
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   "source": [
    "!pip install edge-tts\n",
    "!pip install pygame"
   ]
  },
  {
   "cell_type": "code",
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   "source": [
    "import asyncio\n",
    "import edge_tts\n",
    "import pygame\n",
    "\n",
    "TEXT = \"\"\"\n",
    "happy\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": null,
   "id": "1e54069c-db63-45ba-86e8-726730b19255",
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   "outputs": [],
   "source": [
    "import asyncio\n",
    "import edge_tts\n",
    "import pygame\n",
    "\n",
    "TEXT = \"happi\"\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",
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   "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": null,
   "id": "00939422-fbf9-4842-b82a-b6106624c075",
   "metadata": {},
   "outputs": [],
   "source": [
    "import asyncio\n",
    "import edge_tts\n",
    "import pygame\n",
    "\n",
    "TEXT = \"goal\"\n",
    "Wordlist = TEXT.split(\",\")\n",
    "\n",
    "for w in Wordlist:\n",
    "  for VOICE in ['ko-KR-InJoonNeural']:\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": "93f68a91-7e6b-45ef-932e-533b695e4ac1",
   "metadata": {},
   "outputs": [],
   "source": [
    "# ru-RU-DmitryNeural\n",
    "# ko-KR-InJoonNeural"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "474c3f39-11ed-4d0a-b039-63df8b270044",
   "metadata": {},
   "outputs": [],
   "source": [
    "import os\n",
    "print(os.getcwd())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "2128587f-e6c8-488d-8c40-6c958b9c735e",
   "metadata": {},
   "outputs": [],
   "source": []
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