voice-changer
リアルタイムボイスチェンジャー Realtime Voice Changer
Open-Cluelyは、shubhamshnd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: shubhamshnd/Open-Cluely)。GitHubスターは172、フォークは66で、Custom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9月24日です。
Open source no-cost alternative to Cluely & Parakeet AI.
Change the config to match your workflow, then run it daily.
Decide what you want Open-Cluely to do first — open source no-cost alternative to Cluely & Parakeet AI — live AI inte.
Pull the latest changes to stay current with fixes.
The README documents setup; start with the install section.
Working ai copilot support built in.
Working cluely support built in.
Working coding interview helper support built in.
Working electron app support built in.
Runs anywhere JavaScript runs.
Read and audit every line on GitHub.
Download the source and move into the project folder.
git clone https://github.com/shubhamshnd/Open-Cluely.git
cd open-cluelyInstall the Node dependencies.
npm installStart the app or dev server.
npm startYes, under custom license terms — read the repo's license file for the exact terms.
No. It is a self-run project — clone it and run it on your own machine. Some features may optionally call external APIs; check the README.
Yes, that is the point. The code is public, so you can run, modify, and host it yourself.
It is released under Custom. Read the LICENSE file in the repo for the exact terms.
Start with the README, then the issue tracker on the GitHub repo at shubhamshnd/Open-Cluely, where maintainers and users answer questions.
リアルタイムボイスチェンジャー Realtime Voice Changer
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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 — Open-Cluely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。
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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Open-Cluely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。
NVIDIA Broadcast-style AI effects for Linux and macOS.
AWS sample app for live meeting transcription and AI summaries.
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A mental-model-first guide from waveforms to voice systems.