Audio
Whisper
Robust Speech Recognition via Large-Scale Weak Supervision
★ 109,9 k étoilesMIT
Voir le guide →whisper.cpp est un projet de audio open source, créé par ggml-org (ggml-org/whisper.cpp sur GitHub). Il compte 54 108 étoiles sur GitHub et 6 205 forks, il est publié sous la licence MIT et a été mis à jour pour la dernière fois sur GitHub le 2 octobre 2026.
Port of OpenAI's Whisper model in C/C++
Speech-to-text, text-to-speech, voice cloning, or music/SFX generation — each project here has a lane.
Python packages, Docker images, and C++ builds cover servers, desktops, and edge devices.
Download the weights or pick a voice; many tools bundle a strong default so you can start immediately.
Transcribe files, synthesize scripts, or generate music — then export standard audio formats.
Open speech recognition now rivals paid APIs on accuracy across languages.
Modern TTS is strikingly human — good enough for narration and voiceovers.
Clone a voice from a short sample for consistent characters and branding.
Compose backing tracks and sound effects from text descriptions.
Entire pipelines work without internet — ideal for private or field use.
Drop-in endpoints that mimic commercial APIs, so existing apps switch easily.
Clone the repository or download the latest release for your OS.
git clone https://github.com/ggml-org/whisper.cpp.gitEvery project documents its own setup — the README's install section is the source of truth.
Start the app or server as documented and open the interface it provides.
Synthesis has its own experiment on this shelf: Irodori-TTS lets emojis steer the speaking style of its expressive TTS voice. Also on this shelf: koma — self-hosted AI video analysis: summaries, chapters, transcripts. For a different angle on this shelf, Open-Cluely opens source no-cost alternative to Cluely & Parakeet AI.
Excellent — the leading open models match commercial services on clean audio, in many languages.
The tech clones from short samples; only ever clone voices you own or have explicit permission to use.
It is an open-source project at ggml-org/whisper.cpp with 6,205 forks. Check the repo's contributors and recent commits to see how active maintenance is.
Transcription and TTS run on CPU acceptably; GPUs speed up batch jobs and music generation a lot.
Coverage varies — transcription is broadest, TTS quality is best in major languages.
Usually yes, but check both the code license and the model license.
Robust Speech Recognition via Large-Scale Weak Supervision
Faster Whisper transcription with CTranslate2
Fast and local neural text-to-speech engine
WhisperLive: a nearly-live OpenAI Whisper transcription server for files, mics, and streams
Fast local speech-to-text across 16+ model families, powered by ggml.
Turn the beloved Kokoro voice model into an OpenAI-compatible speech API with one Docker command.
Les autres projets de la catégorie Audio avec le plus d'étoiles du catalogue LibreAI — la sélection réaliste d'alternatives si whisper.cpp 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
VoiceStudio is the open-source, fully-local ElevenLabs alternative — voice cloning, voice design, video dubbing, dictation, transcription & audiobook creatio…
Projets de la catégorie Audio proches dans le catalogue, les plus proches en étoiles de whisper.cpp — continuez à explorer de part et d'autre.
Clone a voice from 5 seconds of audio and generate arbitrary speech in real time
VoiceStudio is the open-source, fully-local ElevenLabs alternative — voice cloning, voice design, video dubbing, dictation, transcription & audiobook creatio…
1 min voice data can also be used to train a good TTS model! (few shot voice cloning)
Deep learning toolkit for text-to-speech, battle-tested in research and production
Robust Speech Recognition via Large-Scale Weak Supervision
A generative speech model built for daily dialogue — natural, conversational text-to-speech
Gratuit et ouvert : récupérez le code source, mettez une étoile au dépôt et commencez à créer.