Аудио
speechbrain
A PyTorch-based Speech Toolkit
★ 11,9 тыс. звёздApache-2.0
Смотреть руководство →silero-vad — проект с открытым исходным кодом из категории «Аудио» от snakers4 (snakers4/silero-vad на GitHub). У него 10 346 звёзд на GitHub и 859 форков, он распространяется по лицензии MIT и последний раз обновлялся на GitHub 29 сентября 2026.
Silero VAD: pre-trained enterprise-grade Voice Activity Detector
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.
Clone a voice from a short sample for narration and dubbing.
Whisper-grade transcription and natural neural voices, free.
Many run fully on-device — nothing you say leaves the machine.
Open licenses let you ship voice features without per-minute API bills.
CLI and Python APIs slot into larger pipelines.
Dozens of languages supported, not just English.
Download the source and move into the project folder.
git clone https://github.com/snakers4/silero-vad.git
cd silero-vadEvery 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 snakers4/silero-vad with 859 forks. Check the repo's contributors and recent commits to see how active maintenance is.
MIT licensed — use it commercially, no strings attached.
Most of these run fully offline after the model download.
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.
A PyTorch-based Speech Toolkit
On-device Speech AI for Apple Silicon
1 min voice data can also be used to train a good TTS model! (few shot voice cloning)
Silero Models: pre-trained text-to-speech models made embarrassingly simple
A pure C++ ggml inference engine for audio models — TTS, STT, VAD, voice conversion and music.
A robust, efficient, low-latency speech-to-text library with advanced voice activity detection, wake word activation and instant transcription.
Другие проекты из категории «Аудио» с наибольшим числом звёзд в каталоге LibreAI — реалистичный список альтернатив, если silero-vad 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 silero-vad — продолжайте изучать полку по обе стороны от него.
Neural building blocks for speaker diarization: speech activity detection, speaker change detection, overlapped speech detection, speaker embedding
Open research toolkit for text-to-speech, voice conversion, singing voice and text-to-audio generation.
Self-hosted backend that gives ESP32 'Xiaozhi' devices streaming voice chat, memory and tool control.
Mozilla's deep-learning text-to-speech library with Tacotron, Glow-TTS and neural vocoders.
A PyTorch-based Speech Toolkit
A robust, efficient, low-latency speech-to-text library with advanced voice activity detection, wake word activation and instant transcription.
Бесплатно и открыто — забирайте исходный код, ставьте звезду репозиторию и начинайте создавать.