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James Betker 2022-05-02 21:57:19 -06:00
parent 29b2f36f55
commit 2ca4ea9948
1 changed files with 67 additions and 37 deletions
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tortoise_tts.ipynb
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@ -40,7 +40,8 @@
"source": [
"!git clone https://github.com/neonbjb/tortoise-tts.git\n",
"%cd tortoise-tts\n",
"!pip install -r requirements.txt"
"!pip3 install -r requirements.txt\n",
"!python3 setup.py install"
]
},
{
@ -54,8 +55,8 @@
"\n",
"import IPython\n",
"\n",
"from api import TextToSpeech\n",
"from utils.audio import load_audio, get_voices\n",
"from tortoise.api import TextToSpeech\n",
"from tortoise.utils.audio import load_audio, load_voice, load_voices\n",
"\n",
"# This will download all the models used by Tortoise from the HF hub.\n",
"tts = TextToSpeech()"
@ -66,20 +67,6 @@
"execution_count": null,
"outputs": []
},
{
"cell_type": "code",
"source": [
"# List all the voices available. These are just some random clips I've gathered\n",
"# from the internet as well as a few voices from the training dataset.\n",
"# Feel free to add your own clips to the voices/ folder.\n",
"%ls voices"
],
"metadata": {
"id": "SSleVnRAiEE2"
},
"execution_count": null,
"outputs": []
},
{
"cell_type": "code",
"source": [
@ -94,8 +81,6 @@
"Though as for that the passing there\n",
"Had worn them really about the same,\"\"\"\n",
"\n",
"# Pick one of the voices from above\n",
"voice = 'train_dotrice'\n",
"# Pick a \"preset mode\" to determine quality. Options: {\"ultra_fast\", \"fast\" (default), \"standard\", \"high_quality\"}. See docs in api.py\n",
"preset = \"fast\""
],
@ -108,15 +93,32 @@
{
"cell_type": "code",
"source": [
"# Fetch the voice references and forward execute!\n",
"voices = get_voices()\n",
"cond_paths = voices[voice]\n",
"conds = []\n",
"for cond_path in cond_paths:\n",
" c = load_audio(cond_path, 22050)\n",
" conds.append(c)\n",
"# Tortoise will attempt to mimic voices you provide. It comes pre-packaged\n",
"# with some voices you might recognize.\n",
"\n",
"gen = tts.tts_with_preset(text, conds, preset)\n",
"# Let's list all the voices available. These are just some random clips I've gathered\n",
"# from the internet as well as a few voices from the training dataset.\n",
"# Feel free to add your own clips to the voices/ folder.\n",
"%ls tortoise/voices\n",
"\n",
"IPython.display.Audio('tortoise/voices/tom/1.wav')"
],
"metadata": {
"id": "SSleVnRAiEE2"
},
"execution_count": null,
"outputs": []
},
{
"cell_type": "code",
"source": [
"# Pick one of the voices from the output above\n",
"voice = 'tom'\n",
"\n",
"# Load it and send it through Tortoise.\n",
"voice_samples, conditioning_latents = load_voice(voice)\n",
"gen = tts.tts_with_preset(text, voice_samples=voice_samples, conditioning_latents=conditioning_latents, \n",
" preset=preset)\n",
"torchaudio.save('generated.wav', gen.squeeze(0).cpu(), 24000)\n",
"IPython.display.Audio('generated.wav')"
],
@ -129,19 +131,29 @@
{
"cell_type": "code",
"source": [
"# You can add as many conditioning voices as you want together. Combining\n",
"# clips from multiple voices takes the mean of the latent space for all\n",
"# voices. This creates a novel voice that is a combination of the two inputs.\n",
"# Tortoise can also generate speech using a random voice. The voice changes each time you execute this!\n",
"# (Note: random voices can be prone to strange utterances)\n",
"gen = tts.tts_with_preset(text, voice_samples=None, conditioning_latents=None, preset=preset)\n",
"torchaudio.save('generated.wav', gen.squeeze(0).cpu(), 24000)\n",
"IPython.display.Audio('generated.wav')"
],
"metadata": {
"id": "16Xs2SSC3BXa"
},
"execution_count": null,
"outputs": []
},
{
"cell_type": "code",
"source": [
"# You can also combine conditioning voices. Combining voices produces a new voice\n",
"# with traits from all the parents.\n",
"#\n",
"# Lets see what it would sound like if Picard and Kirk had a kid with a penchant for philosophy:\n",
"conds = []\n",
"for v in ['pat', 'william']:\n",
" cond_paths = voices[v]\n",
" for cond_path in cond_paths:\n",
" c = load_audio(cond_path, 22050)\n",
" conds.append(c)\n",
"voice_samples, conditioning_latents = load_voices(['pat', 'william'])\n",
"\n",
"gen = tts.tts_with_preset(\"They used to say that if man was meant to fly, he’d have wings. But he did fly. He discovered he had to.\", conds, preset)\n",
"gen = tts.tts_with_preset(\"They used to say that if man was meant to fly, he’d have wings. But he did fly. He discovered he had to.\", \n",
" voice_samples=None, conditioning_latents=None, preset=preset)\n",
"torchaudio.save('captain_kirkard.wav', gen.squeeze(0).cpu(), 24000)\n",
"IPython.display.Audio('captain_kirkard.wav')"
],
@ -150,6 +162,24 @@
},
"execution_count": null,
"outputs": []
},
{
"cell_type": "code",
"source": [
"del tts # Will break other cells, but necessary to conserve RAM if you want to run this cell.\n",
"\n",
"# Tortoise comes with some scripts that does a lot of the lifting for you. For example,\n",
"# read.py will read a text file for you.\n",
"!python3 tortoise/read.py --voice=train_atkins --textfile=tortoise/data/riding_hood.txt --preset=ultra_fast --output_path=.\n",
"\n",
"IPython.display.Audio('train_atkins/combined.wav')\n",
"# This will take awhile.."
],
"metadata": {
"id": "t66yqWgu68KL"
},
"execution_count": null,
"outputs": []
}
]
}