Audio
whisper-diarization
Automatic Speech Recognition with Speaker Diarization based on OpenAI Whisper
★ 5.7k starsBSD-2-Clause
View guide →A TTS model capable of generating ultra-realistic dialogue in one pass.
dia is an open-source audio project by nari-labs (nari-labs/dia on GitHub). It has 19,392 GitHub stars and 1,690 forks, is released under the Apache-2.0 license, and was last updated on GitHub on 19 November 2025.
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.
High-quality text-to-speech voices built in.
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.
Streaming transcription and TTS for live applications.
Download the source and move into the project folder.
git clone https://github.com/nari-labs/dia.git
cd diaEvery 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 nari-labs/dia with 1,690 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.
Automatic Speech Recognition with Speaker Diarization based on OpenAI Whisper
🚀Clone a voice in 5 seconds to generate arbitrary speech in real-time
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…
GPA — one tiny model that does ASR, TTS and voice conversion (General Purpose Audio).
A generative speech model built for daily dialogue — natural, conversational text-to-speech
Unofficial PyTorch implementation of VALL-E, the neural codec language model for zero-shot TTS
The most-starred other Audio projects in the LibreAI catalogue — the realistic shortlist if dia is not the right fit.
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++
Free and open — grab the source, star the repo, and start creating.