Audio
Whisper
Robust Speech Recognition via Large-Scale Weak Supervision
★ 109,9k estrellasMIT
Ver la guía →AudioCraft es un proyecto de audio de código abierto de facebookresearch (facebookresearch/audiocraft en GitHub). Tiene 23.657 estrellas en GitHub y 2.698 bifurcaciones, se publica bajo la licencia MIT y se actualizó por última vez en GitHub el 3 de marzo de 2026.
Audiocraft is a library for audio processing and generation with deep learning. It features the state-of-the-art EnCodec audio…
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/facebookresearch/audiocraft.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.
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 facebookresearch/audiocraft with 2,698 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
Port of OpenAI's Whisper model in C/C++
Faster Whisper transcription with CTranslate2
Mozilla's deep-learning text-to-speech library with Tacotron, Glow-TTS and neural vocoders.
Open research toolkit for text-to-speech, voice conversion, singing voice and text-to-audio generation.
Deep learning toolkit for text-to-speech, battle-tested in research and production
Los demás proyectos de Audio con más estrellas del catálogo de LibreAI: la lista realista de alternativas si AudioCraft no es lo que buscas.
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++
Proyectos de Audio cercanos en el catálogo, los más próximos en estrellas a AudioCraft: sigue explorando a ambos lados.
CosyVoice: multilingual voice generation with zero-shot cloning, streaming and fine-tuning
Buzz transcribes and translates audio offline on your personal computer. Powered by OpenAI's Whisper.
IndexTTS: industrial-level, controllable zero-shot text-to-speech with voice cloning
リアルタイムボイスチェンジャー Realtime Voice Changer
Faster Whisper transcription with CTranslate2
A complete open-source speech recognition toolkit - ASR, VAD, diarization and serving
Gratis y abierto: consigue el código fuente, dale una estrella al repositorio y empieza a crear.