Áudio
sherpa-onnx
Speech-to-text, text-to-speech, speaker diarization, speech enhancement, source separation, and VAD using next-gen Kaldi with onnxruntime without Internet co…
★ 15,1 mil estrelasApache-2.0
Ver o guia →sherpa é um projeto de áudio de código aberto de k2-fsa (k2-fsa/sherpa no GitHub). Tem 998 estrelas no GitHub e 151 forks, é publicado sob a licença Apache-2.0 e foi atualizado pela última vez no GitHub em 4 de outubro de 2026.
A speech-to-text server framework built on next-generation Kaldi.
Pick from the Kaldi-next-gen models the framework supports.
Launch the speech-to-text server on your hardware.
Send live audio or files for recognition.
Integrate transcripts into your own services.
Built on modern Kaldi with transducer and CTC models.
Ready-made base for deploying STT as a service.
High-performance recognition engine.
Scripting and integration support around the core.
Modern neural recognition architectures included.
Commercial-friendly open-source terms.
Download the source and move into the project folder.
git clone https://github.com/k2-fsa/sherpa.git
cd sherpaEvery project documents its own setup; start with install requirements.
cat README.md | head -60Follow the project's launch command — Docker, pip, npm, or a binary release.
# see README for the exact launch commandIt is an open-source project at k2-fsa/sherpa with 151 forks. Check the repo's contributors and recent commits to see how active maintenance is.
Apache 2.0 licensed — commercial use allowed with attribution.
A framework — it gives you the server and models to build STT services with.
Next-gen Kaldi architectures including transducer and CTC models.
Yes — Python bindings and PyTorch tooling sit alongside the C++ core.
Speech-to-text, text-to-speech, speaker diarization, speech enhancement, source separation, and VAD using next-gen Kaldi with onnxruntime without Internet co…
End-to-End Speech Processing Toolkit
A PyTorch-based Speech Toolkit
Open research toolkit for text-to-speech, voice conversion, singing voice and text-to-audio generation.
Private cross-platform speech-to-text with LLM cleanup built in.
A generative speech model built for daily dialogue — natural, conversational text-to-speech
Os outros projetos de Áudio com mais estrelas no catálogo do LibreAI — a lista realista de alternativas se sherpa não for o ideal para você.
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Robust Speech Recognition via Large-Scale Weak Supervision
1 min voice data can also be used to train a good TTS model! (few shot voice cloning)
Clone a voice from 5 seconds of audio and generate arbitrary speech in real time
Port of OpenAI's Whisper model in C/C++
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Native Linux dictation: fast, private, and hackable speech-to-text.
A ready API for speech-to-text with per-user access control.
Grátis e aberto: pegue o código-fonte, dê uma estrela no repositório e comece a criar.