Аудио
MockingBird
🚀Clone a voice in 5 seconds to generate arbitrary speech in real-time
★ 36,9 тыс. звёздUnknown
Смотреть руководство →speechbrain — проект с открытым исходным кодом из категории «Аудио» от speechbrain (speechbrain/speechbrain на GitHub). У него 11 852 звезды на GitHub и 1 730 форков, он распространяется по лицензии Apache-2.0 и последний раз обновлялся на GitHub 27 августа 2026.
A PyTorch-based Speech Toolkit
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.
Другие проекты из категории «Аудио» с наибольшим числом звёзд в каталоге LibreAI — реалистичный список альтернатив, если speechbrain вам не подходит.
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++
Соседние проекты из категории «Аудио» в каталоге, ближайшие по числу звёзд к speechbrain — продолжайте изучать полку по обе стороны от него.
Use Microsoft Edge's online text-to-speech service from Python WITHOUT needing Microsoft Edge or Windows or an API key
Self-hosted backend that gives ESP32 'Xiaozhi' devices streaming voice chat, memory and tool control.
Easy-to-use Speech Toolkit including Self-Supervised Learning model, SOTA/Streaming ASR with punctuation, Streaming TTS with text…
Neural building blocks for speaker diarization: speech activity detection, speaker change detection, overlapped speech detection, speaker embedding
Gradio WebUI for creators and developers, featuring key TTS (Edge-TTS, kokoro) and zero-shot Voice Cloning (E2 & F5-TTS, CosyVoice), with Whisper audio proce…
Silero VAD: pre-trained enterprise-grade Voice Activity Detector
Бесплатно и открыто — забирайте исходный код, ставьте звезду репозиторию и начинайте создавать.