tortoise-tts
audio-webui
tortoise-tts | audio-webui | |
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145 | 15 | |
11,944 | 916 | |
- | - | |
8.0 | 9.0 | |
4 days ago | about 1 month ago | |
Jupyter Notebook | Python | |
Apache License 2.0 | MIT License |
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tortoise-tts
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ESpeak-ng: speech synthesizer with more than one hundred languages and accents
The quality also depends on the type of model. I'm not really sure what ESpeak-ng actually uses? The classical TTS approaches often use some statistical model (e.g. HMM) + some vocoder. You can get to intelligible speech pretty easily but the quality is bad (w.r.t. how natural it sounds).
There are better open source TTS models. E.g. check https://github.com/neonbjb/tortoise-tts or https://github.com/NVIDIA/tacotron2. Or here for more: https://www.reddit.com/r/MachineLearning/comments/12kjof5/d_...
- FLaNK Stack Weekly 12 February 2024
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OpenVoice: Versatile Instant Voice Cloning
I use Tortoise TTS. It's slow, a little clunky, and sometimes the output gets downright weird. But it's the best quality-oriented TTS I've found that I can run locally.
https://github.com/neonbjb/tortoise-tts
- [discussion] text to voice generation for textbooks
- DALL-E 3: Improving image generation with better captions [pdf]
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Open Source Libraries
neonbjb/tortoise-tts
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Running Tortoise-TTS - IndexError: List out of range
EDIT: It appears to be the exact same issue as this
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My Deep Learning Rig
It was primarily being used to train TTS models (see https://github.com/neonbjb/tortoise-tts), which largely fit into a single GPUs memory. So, for data parallelism, x8 PCIe isn't that much of a concern.
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PlayHT2.0: State-of-the-Art Generative Voice AI Model for Conversational Speech
Previously TortoiseTTS was associated with PlayHT in some way, although the exact connection is a bit vague [0].
From the descriptions here it sounds a lot like AudioLM / SPEAR TTS / some of Meta's recent multilingual TTS approaches, although those models are not open source, sounds like PlayHT's approach is in a similar spirit. The discussion of "mel tokens" is closer to what I would call the classic TTS pipeline in many ways... PlayHT has generally been kind of closed about what they used, would be interesting to know more.
I assume the key factor here is high quality, emotive audio with good data cleaning processes. Probably not even a lot of data, at least in the scale of "a lot" in speech, e.g. ASR (millions of hours) or TTS (hundreds to thousands). As opposed to some radically new architectural piece never before seen in the literature, there are lots of really nice tools for emotive and expressive TTS buried in recent years of publications.
Tacotron 2 is perfectly capable of this type of stuff as well, as shown by Dessa [1] a few years ago (this writeup is a nice intro to TTS concepts). With the limit largely being, at some point you haven't heard certain phonetic sounds before in a voice, and need to do something to get plausible outcomes for new voices.
[0] Discussion here https://github.com/neonbjb/tortoise-tts/issues/182#issuecomm...
[1] https://medium.com/dessa-news/realtalk-how-it-works-94c1afda...
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Comparing Tortoise and Bark for Voice Synthesis
Tortoise GitHub repo - Source code, documentation, and usage guide
audio-webui
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Sub for AI voice models
I mean, just use gitmylo's repo.
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What are some good tools for text2audio that I can run locally?
For pure voice and not autogeneration from the LLM you have stuff like: https://github.com/gitmylo/audio-webui
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Open Source Libraries
gitmylo/audio-webui
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Dedicated Riffusion Gradio training interface?
I was wondering if there might be some way to incorporate Riffusion and it's various capabilities into this platform? Multiple attempts have been made by me on my local server to combine the Automatic111 SD-Web-UI extensions and such into the Audiocraft_Plus (https://github.com/GrandaddyShmax/audiocraft_plus) and Audio Web (https://github.com/gitmylo/audio-webui) Ui's platform, but truth be told I am a total beginner and keep coming up short!
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Any local voice models?
audio-webui is the stable diffusion of txt 2 speech stuff but don't expect high quality voice replication for a while. https://github.com/gitmylo/audio-webui
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Best Tool for creating an AI celebrity voice clone?
You can try Audio-Webui if you're technically savvy. There are some voice cloning workflows as well as RVC, voice conversion.
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Are there any AI resources to help create audiobooks from text to speech?
Have not tested but it looks like the audio-webui repo is ready for long texts (just click the COLAB link to test it). I would test it and then go tortoise if the quality is not as needed.
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I found a youtube tutorial voiceover made by AI, and I'm blown away by its quality. Can you help me figure out which tool did the author use?
This is the best open source voice cloning. Super easy to install also.
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How to change your voice to someone elseโs for a song? What are the best ways being used right now?
People use https://github.com/gitmylo/audio-webui and https://github.com/RVC-Project/Retrieval-based-Voice-Conversion-WebUI for that Check out this tutorial : https://www.youtube.com/watch?v=-JcvdDErkAU It's possible to separate music or background noises from voice with these tech and recombine them together or with other songs, it's amazing and fun.
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What would be the Stable Diffusion equivalent, for AI music generation?
Check this out : https://github.com/gitmylo/audio-webui/wiki/Features
What are some alternatives?
TTS - ๐ธ๐ฌ - a deep learning toolkit for Text-to-Speech, battle-tested in research and production
bark - ๐ Text-Prompted Generative Audio Model
audiocraft_plus - Audiocraft is a library for audio processing and generation with deep learning. It features the state-of-the-art EnCodec audio compressor / tokenizer, along with MusicGen, a simple and controllable music generation LM with textual and melodic conditioning.
Real-Time-Voice-Cloning - Clone a voice in 5 seconds to generate arbitrary speech in real-time
DeepFilterNet - Noise supression using deep filtering
piper - A fast, local neural text to speech system
tacotron2 - Tacotron 2 - PyTorch implementation with faster-than-realtime inference
Retrieval-based-Voice-Conversion-WebUI - Easily train a good VC model with voice data <= 10 mins!
larynx - End to end text to speech system using gruut and onnx
bark-voice-cloning-HuBERT-quantizer - The code for the bark-voicecloning model. Training and inference.