Audio
argmax-oss-swift
On-device Speech AI for Apple Silicon
★ 6.4k starsMIT
View guide →Speech-to-text, text-to-speech, speaker diarization, speech enhancement, source separation, and VAD using next-gen Kaldi with onnxruntime without Internet co…
sherpa-onnx is an open-source audio project by k2-fsa (k2-fsa/sherpa-onnx on GitHub). It has 15,092 GitHub stars and 1,745 forks, is released under the Apache-2.0 license, and was last updated on GitHub on 22 September 2026.
Transcription, synthesis, voice changing, or editing — each tool here majors in one.
Binaries, pip packages, or Docker; models download on first run for AI tools.
Drop in a recording or type what you want spoken.
WAV/MP3/OGG outputs drop straight into editors or apps.
Dozens of languages supported, not just English.
Streaming transcription and TTS for live applications.
Tell speakers apart in meetings and interviews automatically.
Clone a voice from a short sample for narration and dubbing.
Whisper-grade transcription and natural neural voices, free.
Many run fully on-device — nothing you say leaves the machine.
Download the source and move into the project folder.
git clone https://github.com/k2-fsa/sherpa-onnx.git
cd sherpa-onnxEvery 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-onnx with 1,745 forks. Check the repo's contributors and recent commits to see how active maintenance is.
Apache 2.0 licensed — commercial use allowed with attribution.
Check each license — many allow it, but voice-cloning has ethical and legal boundaries.
Whisper-class models rival paid services on clear audio; noisy recordings need cleanup first.
Dozens; English is strongest, major world languages are solid.
On-device Speech AI for Apple Silicon
1 min voice data can also be used to train a good TTS model! (few shot voice cloning)
Audio Editor
A speech-to-text server framework built on next-generation Kaldi.
Offline text-to-speech for Python — uses your operating system's own voices, no internet needed
A complete open-source speech recognition toolkit - ASR, VAD, diarization and serving
The most-starred other Audio projects in the LibreAI catalogue — the realistic shortlist if sherpa-onnx is not the right fit.
利用 AI 大模型和自动化工作流，根据主题或关键词一键生成高清短视频。Generate HD short videos from a topic or keyword with an automated AI workflow.
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++
Free and open — grab the source, star the repo, and start creating.