ubisoft-laforge-daft-exprt
TTS
| ubisoft-laforge-daft-exprt | TTS | |
|---|---|---|
| 3 | 232 | |
| 114 | 29,631 | |
| 0.0% | 4.7% | |
| 0.0 | 9.4 | |
| about 1 year ago | 4 days ago | |
| Python | Python | |
| Apache License 2.0 | Mozilla Public License 2.0 |
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ubisoft-laforge-daft-exprt
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Using deepfake voice programms for devolopement - Possible/practical?
Ubisoft has their Daft-Exprt stuff on github that does a tolerable job of prosody/tone transfer, which is pretty much necessary to naturalize shit if you're going to be doing a cloning pipeline that isn't using a service's packaged voices. Without this I wouldn't even consider an ai speech pipeline due to how hardly constrained the range of tone is even with something like replicant studios actor shit.
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Using A.I voices or Sound Fonts (i.e. Undertale or Animal Crossing)
Ubisoft has some stuff that works to naturalize pretty well via prosody transfer https://github.com/ubisoft/ubisoft-laforge-daft-exprt
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Anyone have experience with AI voices?
Prosody transfer (I use https://github.com/ubisoft/ubisoft-laforge-daft-exprt), use an example speech segment to change the timing, intonation, and other properties of a different segment of speech. Such as taking evenly paced ML generated speech, and turning it into Captain Kirk iambic pentameter.
TTS
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Ask HN: Open-source, local Text-to-Speech (TTS) generators
I just noticed that https://coqui.ai/ is "Shutting down".
I'm building a web app (React / Django) which takes a list of affirmations & goals (in Markdown files), puts them into a database (SQlite), and uses voice synthesis to create voice audio files of the phrases. These are combined with a relaxed backing track (ffmpeg), made into playlists of 10-20 phrases (randomly sampled, or according to a theme: "mind" "body" "soul") and then play automatically in the morning & evening (cron). This allows you to persistently hear & vocalize your own goals & good vibes over time.
I had been planning to use Coqui TTS as the local text-to-speech engine, but with this cancellation, I'd love to hear from the community what is a great open-source, local text-to-speech engine?
Generally, I learn both the highest quality commercially available technology (example: ElevenLabs), and also the best open-source equivalent. Would love to hear suggestions & perspectives on this. What voice synth tools are you investing your time into learning & building with?
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OpenAI deems its voice cloning tool too risky for general release
lol this marketing technique is getting very old. https://github.com/coqui-ai/TTS is already amazing and open source.
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What things are happening in ML that we can't hear oer the din of LLMs?
Not sure how relevant this is but note that Coqui TTS (the realistic TTS) has already shut down
https://coqui.ai
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Base TTS (Amazon): The largest text-to-speech model to-date
I've used coqui.ai's TTS models[0] and library[1] to great success. I was able to get cloned voice to be rendered in about 80% of the audio clip length, and I believe you can also stream the response. Do note the model license for XTTS, it is one they wrote themselves that has some restrictions.
[0] https://huggingface.co/coqui/XTTS-v2
[1] https://github.com/coqui-ai/TTS
- FLaNK Stack Weekly 12 February 2024
- Coqui Is Shutting Down
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Coqui.ai Is Shutting Down
My only exposure to Coqui was their text to speech software. If I remember correctly the website was a commercialized service with TTS and probably some other related things. I hope the software work continues in the open.
https://github.com/coqui-ai/TTS
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Hello guys, any selfhosted alternative to eleven labs?
Coqui.ai TTS (https://github.com/coqui-ai/TTS)
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Demo of Anagnorisis - completely local recommendation system powered by Llama 2. Radio mode. Work in progress.
"tts_models/multilingual/multi-dataset/xtts_v2" model from https://github.com/coqui-ai/TTS. It gives pretty good results and works with references, so it's pretty easy to change the voice. By the way the source code of the project is open: https://github.com/volotat/Anagnorisis but be ready, the code is pretty raw for now.
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XTTS voice cloning with only a seconds of audio
A recent update to their GitHub also has a no-code gradio ui to facilitate fine-tuning and inferencing locally. https://github.com/coqui-ai/TTS/releases/tag/v0.21.3
What are some alternatives?
hifi-gan - HiFi-GAN: Generative Adversarial Networks for Efficient and High Fidelity Speech Synthesis
tortoise-tts - A multi-voice TTS system trained with an emphasis on quality
STYLER - Official repository of STYLER: Style Factor Modeling with Rapidity and Robustness via Speech Decomposition for Expressive and Controllable Neural Text to Speech, INTERSPEECH 2021
Real-Time-Voice-Cloning - Clone a voice in 5 seconds to generate arbitrary speech in real-time
vits - VITS: Conditional Variational Autoencoder with Adversarial Learning for End-to-End Text-to-Speech
silero-models - Silero Models: pre-trained speech-to-text, text-to-speech and text-enhancement models made embarrassingly simple
Parallel-Tacotron2 - PyTorch Implementation of Google's Parallel Tacotron 2: A Non-Autoregressive Neural TTS Model with Differentiable Duration Modeling
vosk-api - Offline speech recognition API for Android, iOS, Raspberry Pi and servers with Python, Java, C# and Node
EmotiVoice - EmotiVoice 😊: a Multi-Voice and Prompt-Controlled TTS Engine
text-generation-webui - A Gradio web UI for Large Language Models. Supports transformers, GPTQ, AWQ, EXL2, llama.cpp (GGUF), Llama models.
piper - A fast, local neural text to speech system
bark - 🔊 Text-Prompted Generative Audio Model