音声
AudioCraft
Audiocraft is a library for audio processing and generation with deep learning. It features the state-of-the-art EnCodec audio…
★ 23.7k スターMIT
ガイドを見る →nightingaleは、rzruが公開しているオープンソースの音声プロジェクトです（GitHub: rzru/nightingale）。GitHubスターは1,484、フォークは111で、GPL-3.0ライセンスの下で公開されています。GitHubでの最終更新は2026年10月2日です。
Machine-learning karaoke with scores — sing at home, for free.
Launch it in your browser or as a desktop build.
Choose a song from the available catalog.
ML separation handles the backing track while you sing.
Get rated on pitch and timing, then retry for a better score.
Uses machine learning to build sing-along backing tracks.
Rates your singing so you can track improvement.
Runs in the browser with a polished karaoke interface.
Scoring turns practice into a friendly competition.
Free and open; derivatives must stay open too.
Recent commits show it is still being improved.
Download the source and move into the project folder.
git clone https://github.com/rzru/nightingale.git
cd nightingaleEvery 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 rzru/nightingale with 111 forks. Check the repo's contributors and recent commits to see how active maintenance is.
GPL-3.0 licensed — free to use, but modified versions must also be GPL.
It uses ML analysis of pitch and timing to score your performance against the track.
Just a computer with a microphone; no special karaoke machine required.
The app provides a catalog; check the project docs for details on adding tracks.
Audiocraft is a library for audio processing and generation with deep learning. It features the state-of-the-art EnCodec audio…
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.
Audio Editor
Nebulynk — a self-hosted home for your team's conversations, calls, publicly available.
Mozilla's deep-learning text-to-speech library with Tacotron, Glow-TTS and neural vocoders.
VITS — the original end-to-end text-to-speech model: a conditional VAE with adversarial learning, in PyTorch.
LibreAIカタログに掲載された音声プロジェクトの中で最もスターの多いもの — nightingaleが合わなかった場合に検討したい、現実的な候補リストです。
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++
カタログの中でnightingaleとスター数が近い音声プロジェクト — 前後の棚もそのまま見て回れます。
Local-first meeting notes your AI coding agents can query over MCP.
Self-host Chatterbox TTS with web UI, API, and voice cloning.
Open-source AI dictation that types 3x faster, fully offline.
Blazing-fast multi-backend Whisper transcription for any file or URL.
Instant, ultra-realistic text-to-speech from a simple local app.
Multilingual long-form dialogue speech with zero-shot voice cloning.