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AI Voice Cloning with Tortoise TTS.ipynb
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{
"cells": [
{
"cell_type": "markdown",
"metadata": {
"id": "view-in-github",
"colab_type": "text"
},
"source": [
"<a href=\"https://colab.research.google.com/gist/AdamWhiteHat/3624b24c463949e0895561b42301738f/copy-of-clone-your-own-voice-tortoise-tts.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
]
},
{
"cell_type": "markdown",
"source": [
"# **1). Test if you need to install packages**"
],
"metadata": {
"id": "Jaib2vgUiH8x"
}
},
{
"cell_type": "code",
"source": [
"import torch\n",
"import scipy\n",
"import numpy\n",
"import ffmpeg"
],
"metadata": {
"id": "ZwFcpR77iHZP"
},
"execution_count": null,
"outputs": []
},
{
"cell_type": "markdown",
"metadata": {
"id": "OvQqgdXMINpN"
},
"source": [
"## **1.1) - Install Packages**"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"id": "qVuatDjsfIYj"
},
"outputs": [],
"source": [
"!pip3 install -U scipy\n",
"!pip3 install transformers\n",
"!pip3 install pysoundfile\n",
"!pip3 install numpy\n",
"!pip3 install llvmlite\n",
"!pip3 install tqdm\n",
"!pip3 install rotary_embedding_torch\n",
"!pip3 install transformers\n",
"!pip3 install tokenizers\n",
"!pip3 install inflect\n",
"!pip3 install progressbar\n",
"!pip3 install einops\n",
"!pip3 install unidecode\n",
"\n",
"!pip3 install scipy\n",
"!pip3 install librosa\n",
"!pip3 install numba\n",
"!pip3 install ffmpeg\n",
"\n",
"!pip3 install librosa\n",
"!pip3 install numba\n",
"!pip3 install ffmpeg"
]
},
{
"cell_type": "markdown",
"source": [
"---"
],
"metadata": {
"id": "drFR8ML0_S_T"
}
},
{
"cell_type": "markdown",
"metadata": {
"id": "V8WBymn4KhbU"
},
"source": [
"# **2). Set Options**"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"id": "bcq-F4yD8Qd5"
},
"outputs": [],
"source": [
"#@title { display-mode: \"form\" }\n",
"\n",
"#@markdown **Set your options below:**\n",
"\n",
"#@markdown ####**CUSTOM_VOICE_NAME**: This is the name of your model you'll train. \n",
"#@markdown ####This is also the name of the folder this script will look into for the .WAV audio sample files.\n",
"#@markdown ####**Please ensure sample audio files are in place first at this location:**\n",
"#@markdown ####/content/gdrive/MyDrive/tortoise/tortoise-tts/tortoise/voices/{CUSTOM_VOICE_NAME}\n",
"CUSTOM_VOICE_NAME = \"freeman\" #@param {type:\"string\"}\n",
"#@markdown \n",
"\n",
"#@markdown ####**text**: This is the text that will be spoken.\n",
"text = \"Just over 100 years ago, telescopes began to improve rapidly and man discovered that all the thousands of points of lights previously thought to be stars were, in fact, each their own separate galaxy, or island universes, as they called them then. Now, it is known that there are more stars in our own milky way galaxy, than there are atoms in the universe, and that little fact still fills me with wonder every day.\" #@param {type:\"string\"}\n",
"#@markdown\n",
"\n",
"#@markdown ####**quality**: Select the output quality.\n",
"#@markdown ####'high_quality': Use if you want the absolute best. This is not really worth the compute, though.\n",
"#@markdown ####'standard': Very good quality. This is generally about as good as you are going to get.\n",
"quality = \"high_quality\" #@param [\"Auto\", \"ultra_fast\", \"fast\", \"standard\", \"high_quality\"]\n",
"#@markdown \n",
"\n",
"#@markdown ####**output_filename**: The output filename, duh. You can include the \"{CUSTOM_VOICE_NAME}\" token if you want.\n",
"output_filename = \"output-{CUSTOM_VOICE_NAME}-stars-galaxy-atoms-universe-001.wav\" #@param {type:\"string\"}\n",
"#@markdown \n",
"\n",
"import torch\n",
"\n",
"preset = quality\n",
"if preset==\"Auto\":\n",
" if torch.cuda.is_available():\n",
" preset = \"high_quality\"\n",
" else:\n",
" preset = \"standard\" \n",
"\n",
"wav_filename = output_filename.format(CUSTOM_VOICE_NAME=CUSTOM_VOICE_NAME)\n",
"\n",
"assert(not CUSTOM_VOICE_NAME is None)\n",
"assert(not text is None)\n",
"assert(not preset is None)\n",
"assert(not wav_filename is None)"
]
},
{
"cell_type": "markdown",
"source": [
"---"
],
"metadata": {
"id": "vXKKAYpf_QU4"
}
},
{
"cell_type": "markdown",
"metadata": {
"id": "wbwgFX6lKoUv"
},
"source": [
"> ## **2.1) - If CUSTOM_VOICE_NAME folder does not exist...**\n",
"> ### ...then some sample voice audio clips must be provided.\n",
"> ### Upload at least 2 audio clips, 6-10 seconds long each, in WAV file format to the appropriate folder in your Google Drive.\n",
"> ### **Upload them to:** \n",
"> ### ➽ **/content/gdrive/MyDrive/tortoise/tortoise-tts/tortoise/voices/{CUSTOM_VOICE_NAME}**"
]
},
{
"cell_type": "markdown",
"source": [
"## *This step will prompt you to sign into your google account and access your google drive to read the sample audio files and write the downloaded models to.*"
],
"metadata": {
"id": "gq4EydeM-gaV"
}
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"id": "ibWXTQQAakEG"
},
"outputs": [],
"source": [
"voice_folder = f\"/content/gdrive/MyDrive/tortoise/tortoise-tts/tortoise/voices\"\n",
"custom_voice_folder = f\"/content/gdrive/MyDrive/tortoise/tortoise-tts/tortoise/voices/{CUSTOM_VOICE_NAME}\"\n",
"# Upload at least 2 audio clips. They must be a WAV file, 6-10 seconds long.bold text\n",
"\n",
"import os\n",
"import gzip\n",
"import shutil\n",
"\n",
"\n",
"if not os.path.exists(custom_voice_folder):\n",
" from google.colab import files\n",
" from google.colab import drive\n",
" drive.mount('/content/gdrive')\n",
" if not os.path.exists(custom_voice_folder):\n",
" os.makedirs(custom_voice_folder)\n",
"\n",
"%cd \"/content/gdrive/MyDrive/tortoise\"\n",
"if not os.path.exists(\"tortoise-tts\"):\n",
" !git clone https://github.com/jnordberg/tortoise-tts.git\n",
"%cd tortoise-tts"
]
},
{
"cell_type": "markdown",
"source": [
"---"
],
"metadata": {
"id": "kfTUC9Cp_NUd"
}
},
{
"cell_type": "markdown",
"source": [
"# **3). Install AI script**"
],
"metadata": {
"id": "n97V7_yG9p71"
}
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"id": "O93zyM1GfKYb"
},
"outputs": [],
"source": [
"!python3 setup.py install"
]
},
{
"cell_type": "markdown",
"source": [
"---"
],
"metadata": {
"id": "xqDBKXD0_Kfn"
}
},
{
"cell_type": "markdown",
"source": [
"# **4). Download & Load Pretrained Models**"
],
"metadata": {
"id": "Y8Pvepn99zMn"
}
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/",
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{
"output_type": "display_data",
"data": {
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"Downloading (…)lve/main/config.json: 0%| | 0.00/2.11k [00:00<?, ?B/s]"
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"Downloading pytorch_model.bin: 0%| | 0.00/1.26G [00:00<?, ?B/s]"
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"Downloading (…)olve/main/vocab.json: 0%| | 0.00/1.61k [00:00<?, ?B/s]"
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"Downloading (…)okenizer_config.json: 0%| | 0.00/181 [00:00<?, ?B/s]"
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"source": [
"import torch\n",
"import torchaudio\n",
"import torch.nn as nn\n",
"import torch.nn.functional as F\n",
"\n",
"import IPython\n",
"\n",
"from tortoise.api import TextToSpeech\n",
"from tortoise.utils.audio import load_audio, load_voice, load_voices\n",
"\n",
"tts = TextToSpeech()"
]
},
{
"cell_type": "markdown",
"source": [
"---"
],
"metadata": {
"id": "3SLORdLp_EOp"
}
},
{
"cell_type": "markdown",
"metadata": {
"id": "MHMmgcVwJdaT"
},
"source": [
"# **5). Finetune models on CUSTOM_VOICE_NAME and vocode text as speech in that cloned voice**\n",
"\n",
"> **Ensure sample audio files are in place first**\n",
"\n"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"id": "E-Wy_KAyJmTE"
},
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"source": [
"\n",
"# Generate speech\n",
"voice_samples, conditioning_latents = load_voice(voice_folder, CUSTOM_VOICE_NAME)\n",
"gen = tts.tts_with_preset(text, voice_samples=voice_samples, conditioning_latents=conditioning_latents, preset=preset)\n",
"torchaudio.save(wav_filename, gen.squeeze(0).cpu(), 24000)\n",
"IPython.display.Audio(wav_filename)"
]
}
],
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