tortoise-tts
tortoise-tts-fast
tortoise-tts | tortoise-tts-fast | |
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145 | 15 | |
11,819 | 732 | |
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8.0 | 6.7 | |
6 days ago | 5 months ago | |
Jupyter Notebook | Jupyter Notebook | |
Apache License 2.0 | GNU Affero General Public License v3.0 |
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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
tortoise-tts-fast
- Best AI Voice for Audio Books - Play.ht?
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ModuleNotFoundError - tortoise tts
I have installed everything properly according to the github website for tortoise tts fast https://github.com/152334H/tortoise-tts-fast
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Meta introduces Voicebox: state-of-the-art generative AI model for speech
FYI thereโs also this fork for faster inference: https://github.com/152334H/tortoise-tts-fast
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ModuleNotFoundError: No module named 'tortoise.inference' for Tortoise-tts-Fast
I am trying to install tortoise-tts-fast web GUI but I keep getting this error
- Is there a free ai voice cloner online?
- [D] TTS systems to download & run offline
- [Tutorial] Master Deep Voice Cloning in Minutes: Unleash Your Vocal Superpowers! Free and Locally on Your PC
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Tortoise TTS still the best open source voice cloning?
Tortoise works with only a few 10 second voice samples using tortoise-tts-fast or with a fine tuned model via DLAS fork. Results can vary. AFAIK, Bark voice cloning isn't a thing yet, and it's slower in inference than Tortoise. ElevenLabs still the king, but behind an API.
- A MESSAGE. Lots of A.I.s here; Thin plate spline, Stable diffusion, ESRGAN, GFPGAN, Eleven Labs voice A.I.
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Realtime conversational email assistant with lifelike voice
There are efforts to speed up TorToiSe, but it's inherently an approach that is still too slow for realtime. https://github.com/152334H/tortoise-tts-fast
What are some alternatives?
TTS - ๐ธ๐ฌ - a deep learning toolkit for Text-to-Speech, battle-tested in research and production
text-generation-webui - A Gradio web UI for Large Language Models. Supports transformers, GPTQ, AWQ, EXL2, llama.cpp (GGUF), Llama models.
bark - ๐ Text-Prompted Generative Audio Model
vits - VITS: Conditional Variational Autoencoder with Adversarial Learning for End-to-End Text-to-Speech
Real-Time-Voice-Cloning - Clone a voice in 5 seconds to generate arbitrary speech in real-time
chatllama - ChatLLaMA ๐ข Open source implementation for LLaMA-based ChatGPT runnable in a single GPU. 15x faster training process than ChatGPT
piper - A fast, local neural text to speech system
tacotron2 - Tacotron 2 - PyTorch implementation with faster-than-realtime inference
stemroller - Isolate vocals, drums, bass, and other instrumental stems from any song
larynx - End to end text to speech system using gruut and onnx
soundstorm-pytorch - Implementation of SoundStorm, Efficient Parallel Audio Generation from Google Deepmind, in Pytorch