Audio
ODS
ODS V3 Pre-Release: Public testing and refinement ahead of the official V3 launch. Turn your PC, Mac, or Linux box into a private AI server.
★ 7.0k starsApache-2.0
View guide →// audio · espnet/espnet
espnet
espnet is an open-source audio project by espnet (espnet/espnet on GitHub). It has 9,976 GitHub stars and 2,440 forks, is released under the Apache-2.0 license, and was last updated on GitHub on 2 October 2026.
End-to-End Speech Processing Toolkit
★ 10.0k stars⑂ 2.4k forksApache-2.0updated 2026-10
▦ visual — this project's README ships no embeddable screenshot,
so here's a placeholder. The guide below is complete regardless.
so here's a placeholder. The guide below is complete regardless.
// project facts
Project facts
- Repository
- espnet/espnet
- GitHub stars
- 9,976
- Forks
- 2,440
- License
- Apache-2.0
- Last updated on GitHub
- 2 October 2026
- Category
- Audio
- Listing
- Full install guide
- Official site
- Official site
// how it works
How it works
- Pick the job
Transcription, synthesis, voice changing, or editing — each tool here majors in one.
- Install and set up
Binaries, pip packages, or Docker; models download on first run for AI tools.
- Feed it audio or text
Drop in a recording or type what you want spoken.
- Export the result
WAV/MP3/OGG outputs drop straight into editors or apps.
// features
Why people love it
Deep learning inside
Neural models do the heavy lifting behind a simple interface.
Real-time options
Streaming transcription and TTS for live applications.
Diarization
Tell speakers apart in meetings and interviews automatically.
Voice cloning
Clone a voice from a short sample for narration and dubbing.
State-of-the-art models
Whisper-grade transcription and natural neural voices, free.
Offline capable
Many run fully on-device — nothing you say leaves the machine.
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// run it
Run it yourself
- Step 1 — Clone the repo
Download the source and move into the project folder.
git clone https://github.com/espnet/espnet.git cd espnet - Step 2 — Check the README
Every project documents its own setup; start with install requirements.
cat README.md | head -60 - Step 3 — Run it
Follow the project's launch command — Docker, pip, npm, or a binary release.
# see README for the exact launch command
// use cases
What you can build
- Transcribe meetings, lectures, and interviews.
- Generate voiceovers without a studio.
- Clone voices for dubbing and accessibility.
- Clean up and edit recordings.
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// faq
Questions, answered
Who maintains espnet?
It is an open-source project at espnet/espnet with 2,440 forks. Check the repo's contributors and recent commits to see how active maintenance is.
Is espnet free for commercial use?
Apache 2.0 licensed — commercial use allowed with attribution.
How accurate is the transcription?
Whisper-class models rival paid services on clear audio; noisy recordings need cleanup first.
Which languages are supported?
Dozens; English is strongest, major world languages are solid.
Does it work offline?
Most of these run fully offline after the model download.
// keep exploring
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View guide →// alternatives
Alternatives in Audio
The most-starred other Audio projects in the LibreAI catalogue — the realistic shortlist if espnet is not the right fit.
- MoneyPrinterTurbo★ 128.3k
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.
- Whisper★ 109.9k
Robust Speech Recognition via Large-Scale Weak Supervision
- GPT-SoVITS★ 62.3k
1 min voice data can also be used to train a good TTS model! (few shot voice cloning)
- Real-Time-Voice-Cloning★ 60.2k
Clone a voice from 5 seconds of audio and generate arbitrary speech in real time
- whisper.cpp★ 54.1k
Port of OpenAI's Whisper model in C/C++
// more in audio
More in Audio
Nearby Audio projects in the catalogue, closest in stars to espnet — keep exploring the shelf either side of it.
- RealtimeSTT★ 10.2k
A robust, efficient, low-latency speech-to-text library with advanced voice activity detection, wake word activation and instant transcription.
- librosa★ 8.6k
Python library for audio and music analysis
- Mozilla TTS★ 10.2k
Mozilla's deep-learning text-to-speech library with Tacotron, Glow-TTS and neural vocoders.
- EmotiVoice★ 8.5k
EmotiVoice 😊: a Multi-Voice and Prompt-Controlled TTS Engine
- Amphion★ 10.3k
Open research toolkit for text-to-speech, voice conversion, singing voice and text-to-audio generation.
- vits★ 7.9k
VITS — the original end-to-end text-to-speech model: a conditional VAE with adversarial learning, in PyTorch.
Get espnet
Free and open — grab the source, star the repo, and start creating.