Áudio
argmax-oss-swift
On-device Speech AI for Apple Silicon
★ 6,4 mil estrelasMIT
Ver o guia →sherpa-onnx é um projeto de áudio de código aberto de k2-fsa (k2-fsa/sherpa-onnx no GitHub). Tem 15.092 estrelas no GitHub e 1.745 forks, é publicado sob a licença Apache-2.0 e foi atualizado pela última vez no GitHub em 22 de setembro de 2026.
Speech-to-text, text-to-speech, speaker diarization, speech enhancement, source separation, and VAD using next-gen Kaldi with onnxruntime without Internet co…
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
Os outros projetos de Áudio com mais estrelas no catálogo do LibreAI — a lista realista de alternativas se sherpa-onnx não for o ideal para você.
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++
Projetos de Áudio próximos no catálogo, os mais próximos em estrelas de sherpa-onnx: continue explorando dos dois lados dele.
Official code for "F5-TTS: A Fairytaler that Fakes Fluent and Faithful Speech with Flow Matching"
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🧠 Leon is your open-source personal assistant.
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Easy-to-use Speech Toolkit including Self-Supervised Learning model, SOTA/Streaming ASR with punctuation, Streaming TTS with text…
Grátis e aberto: pegue o código-fonte, dê uma estrela no repositório e comece a criar.