Audio
dograh
Open source voice AI platform. Self-hosted alternative to Vapi and Retell. On Prem, BYOK across Speech to Speech or LLM/STT/TTS, with a visual workflow build…
★ 5,8 k étoilesBSD-2-Clause
Voir le guide →pyannote-audio est un projet de audio open source, créé par pyannote (pyannote/pyannote-audio sur GitHub). Il compte 10 611 étoiles sur GitHub et 1 113 forks, il est publié sous la licence MIT et a été mis à jour pour la dernière fois sur GitHub le 24 septembre 2026.
Neural building blocks for speaker diarization: speech activity detection, speaker change detection, overlapped speech detection, speaker embedding
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.
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.
Open licenses let you ship voice features without per-minute API bills.
CLI and Python APIs slot into larger pipelines.
Dozens of languages supported, not just English.
Download the source and move into the project folder.
git clone https://github.com/pyannote/pyannote-audio.git
cd pyannote-audioEvery 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 pyannote/pyannote-audio with 1,113 forks. Check the repo's contributors and recent commits to see how active maintenance is.
MIT licensed — use it commercially, no strings attached.
Most of these run fully offline after the model download.
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.
Open source voice AI platform. Self-hosted alternative to Vapi and Retell. On Prem, BYOK across Speech to Speech or LLM/STT/TTS, with a visual workflow build…
Easily train a good VC model with voice data <= 10 mins!
🧠 Leon is your open-source personal assistant.
Speech-to-text, text-to-speech, speaker diarization, speech enhancement, source separation, and VAD using next-gen Kaldi with onnxruntime without Internet co…
Automatic Speech Recognition with Speaker Diarization based on OpenAI Whisper
A robust, efficient, low-latency speech-to-text library with advanced voice activity detection, wake word activation and instant transcription.
Les autres projets de la catégorie Audio avec le plus d'étoiles du catalogue LibreAI — la sélection réaliste d'alternatives si pyannote-audio ne vous convient pas.
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++
Projets de la catégorie Audio proches dans le catalogue, les plus proches en étoiles de pyannote-audio — continuez à explorer de part et d'autre.
Self-hosted backend that gives ESP32 'Xiaozhi' devices streaming voice chat, memory and tool control.
Silero VAD: pre-trained enterprise-grade Voice Activity Detector
A PyTorch-based Speech Toolkit
Open research toolkit for text-to-speech, voice conversion, singing voice and text-to-audio generation.
Use Microsoft Edge's online text-to-speech service from Python WITHOUT needing Microsoft Edge or Windows or an API key
Mozilla's deep-learning text-to-speech library with Tacotron, Glow-TTS and neural vocoders.
Gratuit et ouvert : récupérez le code source, mettez une étoile au dépôt et commencez à créer.