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 Tsd. SterneBSD-2-Clause
Anleitung ansehen →pyannote-audio ist ein Open-Source-Projekt aus der Kategorie Audio von pyannote (pyannote/pyannote-audio auf GitHub). Es hat 10.611 Sterne auf GitHub und 1.113 Forks, wird unter der Lizenz MIT veröffentlicht und wurde zuletzt am 24. September 2026 auf GitHub aktualisiert.
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.
Die anderen Projekte der Kategorie Audio mit den meisten Sternen im LibreAI-Katalog — die realistische Auswahl, falls pyannote-audio nicht das Richtige ist.
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++
Verwandte Projekte der Kategorie Audio im Katalog, die pyannote-audio bei den Sternen am nächsten stehen — zum Weiterstöbern auf beiden Seiten.
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.
Kostenlos und offen — hol dir den Quellcode, gib dem Repository einen Stern und leg los.