monotonic_align
WhisperSpeech
| monotonic_align | WhisperSpeech | |
|---|---|---|
| 1 | 5 | |
| 63 | 3,417 | |
| - | 4.7% | |
| 10.0 | 9.2 | |
| over 1 year ago | 10 days ago | |
| Cython | Jupyter Notebook | |
| MIT License | MIT License |
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.
monotonic_align
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StyleTTS2 – open-source Eleven Labs quality Text To Speech
RUN pip3 install SoundFile torchaudio munch torch pydub pyyaml librosa nltk matplotlib accelerate transformers phonemizer einops einops-exts tqdm typing-extensions git+https://github.com/resemble-ai/monotonic_align.git
I'm surprised it worked without issues.
WhisperSpeech
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OpenVoice: Versatile Instant Voice Cloning
I haven't tried openvoice, but I did try whisperspeech and it will do the same thing. You can optionally pass in a file with a reference voice, and the tts uses it.
https://github.com/collabora/whisperspeech
I found it to be kind of creepy hearing it in my own voice. I also tried a friend of mine who had a french canadian accent and strangely the output didn't have his accent.
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Show HN: WhisperFusion – Ultra-low latency conversations with an AI chatbot
- WhisperSpeech for the text-to-speech - https://github.com/collabora/WhisperSpeech
and an LLM (phi-2, Mistral, etc.) in between
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WhisperFusion: Ultra-low latency conversations with an AI chatbot
Hi, I used the [WhisperSpeech](https://github.com/collabora/WhisperSpeech) model for the TTS part after I did some serious torch.compile optimizations to bring the latency down. The Whisper speech recognition and the LLM were optimized through TensorRT-LLM by Marcus and Vineet.
It's not perfect but I am still extremely proud of how it came out. :)
- WhisperSpeech – An Open Source text-to-speech system built by inverting Whisper
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StyleTTS2 – open-source Eleven Labs quality Text To Speech
I think you’re talking about just using Whisper to annotate audio for a TTS pipeline but someone from Collabora actually created a TTS model directly from Whisper embeddings https://github.com/collabora/WhisperSpeech
What are some alternatives?
whisper-ctranslate2 - Whisper command line client compatible with original OpenAI client based on CTranslate2.
piper - A fast, local neural text to speech system
WhisperFusion - WhisperFusion builds upon the capabilities of WhisperLive and WhisperSpeech to provide a seamless conversations with an AI.
StyleTTS2 - StyleTTS 2: Towards Human-Level Text-to-Speech through Style Diffusion and Adversarial Training with Large Speech Language Models
llama.cpp - LLM inference in C/C++
VoiceCraft - Zero-Shot Speech Editing and Text-to-Speech in the Wild
whisper - Robust Speech Recognition via Large-Scale Weak Supervision
emotivoice-cli - CLI wrapper around Emotivoice TTS Synthesis
tts-generation-webui - TTS Generation Web UI (Bark, MusicGen + AudioGen, Tortoise, RVC, Vocos, Demucs, SeamlessM4T, MAGNet, StyleTTS2, MMS)
RHVoice - a free and open source speech synthesizer for Russian and other languages