Audio
MockingBird
🚀Clone a voice in 5 seconds to generate arbitrary speech in real-time
★ 36.9k starsUnknown
View guide →A PyTorch-based Speech Toolkit
speechbrain is an open-source audio project by speechbrain (speechbrain/speechbrain on GitHub). It has 11,852 GitHub stars and 1,730 forks, is released under the Apache-2.0 license, and was last updated on GitHub on 27 August 2026.
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.
Purpose-built for audio work with format support that just works.
Neural models do the heavy lifting behind a simple interface.
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/speechbrain/speechbrain.git
cd speechbrainEvery 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 speechbrain/speechbrain with 1,730 forks. Check the repo's contributors and recent commits to see how active maintenance is.
Apache 2.0 licensed — commercial use allowed with attribution.
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.
🚀Clone a voice in 5 seconds to generate arbitrary speech in real-time
Speech-to-text, text-to-speech, speaker diarization, speech enhancement, source separation, and VAD using next-gen Kaldi with onnxruntime without Internet co…
Python library for audio and music analysis
WaveRNN vocoder plus Tacotron TTS in PyTorch: train your own neural speech synthesis on LJSpeech.
Open research toolkit for text-to-speech, voice conversion, singing voice and text-to-audio generation.
VITS — the original end-to-end text-to-speech model: a conditional VAE with adversarial learning, in PyTorch.
The most-starred other Audio projects in the LibreAI catalogue — the realistic shortlist if speechbrain is not the right fit.
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++
Free and open — grab the source, star the repo, and start creating.