LibreAI / Audio / speechbrain
// audio · speechbrain/speechbrain

speechbrain

speechbrain is an open-source audio project by speechbrain (speechbrain/speechbrain on GitHub). It has 11,852 GitHub stars and 1,730 forks, is released under the Apache-2.0 license, and was last updated on GitHub on 27 August 2026.

A PyTorch-based Speech Toolkit

★ 11.9k stars⑂ 1.7k forksApache-2.0updated 2026-08
▦ visual — this project's README ships no embeddable screenshot,
so here's a placeholder. The guide below is complete regardless.
// project facts

Project facts

GitHub stars
11,852
Forks
1,730
License
Apache-2.0
Last updated on GitHub
27 August 2026
Category
Audio
Listing
Full install guide
Official site
Official site
// how it works

How it works

  1. Pick the job

    Transcription, synthesis, voice changing, or editing — each tool here majors in one.

  2. Install and set up

    Binaries, pip packages, or Docker; models download on first run for AI tools.

  3. Feed it audio or text

    Drop in a recording or type what you want spoken.

  4. Export the result

    WAV/MP3/OGG outputs drop straight into editors or apps.

// features

Why people love it

Audio-focused

Purpose-built for audio work with format support that just works.

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.

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// run it

Run it yourself

  1. Step 1 — Clone the repo

    Download the source and move into the project folder.

    git clone https://github.com/speechbrain/speechbrain.git
    cd speechbrain
  2. Step 2 — Check the README

    Every project documents its own setup; start with install requirements.

    cat README.md | head -60
  3. 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 speechbrain?

It is an open-source project at speechbrain/speechbrain with 1,730 forks. Check the repo's contributors and recent commits to see how active maintenance is.

Is speechbrain free for commercial use?

Apache 2.0 licensed — commercial use allowed with attribution.

Can I use the voices commercially?

Check each license — many allow it, but voice-cloning has ethical and legal boundaries.

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.

// keep exploring

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// alternatives

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// more in audio

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Get speechbrain

Free and open — grab the source, star the repo, and start creating.