Аудио
dograh
Open source voice AI platform. Self-hosted alternative to Vapi and Retell. On Prem, BYOK across Speech to Speech or LLM/STT/TTS, with a visual workflow build…
★ 5,8 тыс. звёздBSD-2-Clause
Смотреть руководство →librosa — проект с открытым исходным кодом из категории «Аудио» от librosa (librosa/librosa на GitHub). У него 8 647 звёзд на GitHub и 1 080 форков, он распространяется по лицензии ISC и последний раз обновлялся на GitHub 29 сентября 2026.
Python library for audio and music analysis
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.
Workflows tuned for musicians and producers, not generic audio.
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.
Download the source and move into the project folder.
git clone https://github.com/librosa/librosa.git
cd librosaEvery 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 librosa/librosa with 1,080 forks. Check the repo's contributors and recent commits to see how active maintenance is.
Licensed under ISC — check the repo for commercial-use terms.
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.
Open source voice AI platform. Self-hosted alternative to Vapi and Retell. On Prem, BYOK across Speech to Speech or LLM/STT/TTS, with a visual workflow build…
Easily train a good VC model with voice data <= 10 mins!
🧠 Leon is your open-source personal assistant.
Suno's text-prompted generative audio model: speech, music and sound effects from text prompts
FastRTC turns any Python function into a real-time audio or video stream over WebRTC or WebSockets
A pure C++ ggml inference engine for audio models — TTS, STT, VAD, voice conversion and music.
Другие проекты из категории «Аудио» с наибольшим числом звёзд в каталоге LibreAI — реалистичный список альтернатив, если librosa 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 librosa — продолжайте изучать полку по обе стороны от него.
End-to-End Speech Processing Toolkit
EmotiVoice 😊: a Multi-Voice and Prompt-Controlled TTS Engine
A robust, efficient, low-latency speech-to-text library with advanced voice activity detection, wake word activation and instant transcription.
VITS — the original end-to-end text-to-speech model: a conditional VAE with adversarial learning, in PyTorch.
Mozilla's deep-learning text-to-speech library with Tacotron, Glow-TTS and neural vocoders.
MeloTTS — multilingual text-to-speech for English, Spanish, French, Chinese, Japanese and Korean.
Бесплатно и открыто — забирайте исходный код, ставьте звезду репозиторию и начинайте создавать.