Audio
edge-tts
Use Microsoft Edge's online text-to-speech service from Python WITHOUT needing Microsoft Edge or Windows or an API key
★ 12,2 k étoilesCustom
Voir le guide →whisper-diarization est un projet de audio open source, créé par MahmoudAshraf97 (MahmoudAshraf97/whisper-diarization sur GitHub). Il compte 5 661 étoiles sur GitHub et 505 forks, il est publié sous la licence BSD-2-Clause et a été mis à jour pour la dernière fois sur GitHub le 15 août 2026.
Automatic Speech Recognition with Speaker Diarization based on OpenAI Whisper
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.
Accurate speech-to-text for transcription workflows.
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.
Download the source and move into the project folder.
git clone https://github.com/MahmoudAshraf97/whisper-diarization.git
cd whisper-diarizationEvery 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 commandReaders working through the Audio shelf also stop at dictionariez, Double-click any word for definitions, speech, translation, and Anki. The Audio shelf also holds pindrop — a macOS menu-bar dictation app powered by local WhisperKit. talk-to-fengge clones anyone's voice and personality for real-time conversation.
It is an open-source project at MahmoudAshraf97/whisper-diarization with 505 forks. Check the repo's contributors and recent commits to see how active maintenance is.
Licensed under BSD-2-Clause — check the repo for commercial-use terms.
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.
Use Microsoft Edge's online text-to-speech service from Python WITHOUT needing Microsoft Edge or Windows or an API key
EmotiVoice 😊: a Multi-Voice and Prompt-Controlled TTS Engine
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.
A complete open-source speech recognition toolkit - ASR, VAD, diarization and serving
Robust Speech Recognition via Large-Scale Weak Supervision
Speech-to-text, text-to-speech, speaker diarization, speech enhancement, source separation, and VAD using next-gen Kaldi with onnxruntime without Internet co…
Les autres projets de la catégorie Audio avec le plus d'étoiles du catalogue LibreAI — la sélection réaliste d'alternatives si whisper-diarization 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 whisper-diarization — continuez à explorer de part et d'autre.
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Turn the beloved Kokoro voice model into an OpenAI-compatible speech API with one Docker command.
Silero Models: pre-trained text-to-speech models made embarrassingly simple
FastRTC turns any Python function into a real-time audio or video stream over WebRTC or WebSockets
Gratuit et ouvert : récupérez le code source, mettez une étoile au dépôt et commencez à créer.