vits
speechbrain
| vits | speechbrain | |
|---|---|---|
| 6 | 26 | |
| 6,324 | 7,948 | |
| - | 2.8% | |
| 0.0 | 9.8 | |
| 5 months ago | 4 days ago | |
| Python | Python | |
| MIT License | Apache License 2.0 |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
vits
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[D] TTS systems to download & run offline
And the voice encapsulation system VITS https://github.com/jaywalnut310/vits
- [D] What is the best open source text to speech model?
- githubで公開されている音声自動生成AI、日本のアニメキャラ2890名分の音声を学習素材に超速度で進化中
- 日本語英語中国語を読み上げできる音声自動生成AIがgithubで公開され話題に
- Adversarial Learning for End-to-End Text-to-Speech
- [R] Conditional Variational Autoencoder with Adversarial Learning for End-to-End Text-to-Speech
speechbrain
- SpeechBrain 1.0: A free and open-source AI toolkit for all things speech
- FLaNK Stack Weekly 22 January 2024
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[D] Training ASR model using SpeechBrain
You likely have a very broken sample in one of your batches. It looks like your training actually went through a few batches before it horked the error at you. A quick google shows a similar issue in the github repo: https://github.com/speechbrain/speechbrain/issues/649 .
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Whisper.cpp
https://github.com/ggerganov/whisper.cpp https://speechbrain.github.io/
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[D] What is the best open source text to speech model?
I don't know if it's the best, but Speechbrain is supposed to be state of the art.
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[D] What's stopping you from working on speech and voice?
- https://github.com/speechbrain/speechbrain
- Specific Voice recognition
- How to get high-quality, low-cost Speech-to-Text transcription?
- [D] Speech Enhancement SOTA
- Speaker diarization
What are some alternatives?
tortoise-tts - A multi-voice TTS system trained with an emphasis on quality
espnet - End-to-End Speech Processing Toolkit
tortoise-tts-fast - Fast TorToiSe inference (5x or your money back!)
pyannote-audio - Neural building blocks for speaker diarization: speech activity detection, speaker change detection, overlapped speech detection, speaker embedding
tacotron2 - Tacotron 2 - PyTorch implementation with faster-than-realtime inference
Resemblyzer - A python package to analyze and compare voices with deep learning
Parallel-Tacotron2 - PyTorch Implementation of Google's Parallel Tacotron 2: A Non-Autoregressive Neural TTS Model with Differentiable Duration Modeling
ukrainian-onnx-model - An ONNX model for speech recognition of the Ukrainian language
vall-e - An unofficial PyTorch implementation of the audio LM VALL-E
SincNet - SincNet is a neural architecture for efficiently processing raw audio samples.
tacotron - A TensorFlow implementation of Google's Tacotron speech synthesis with pre-trained model (unofficial)
NeMo - A scalable generative AI framework built for researchers and developers working on Large Language Models, Multimodal, and Speech AI (Automatic Speech Recognition and Text-to-Speech)