LibreAI / Audio / Speech
// audio · NVIDIA-NeMo/Speech

Speech

Speech is an open-source audio project by NVIDIA-NeMo (NVIDIA-NeMo/Speech on GitHub). It has 18,540 GitHub stars and 3,633 forks, is released under the Apache-2.0 license, and was last updated on GitHub on 3 October 2026.

A scalable generative AI framework built for researchers and developers working on Large Language Models, Multimodal, and Speech AI (Automatic Speech Recogni…

★ 18.5k stars⑂ 3.6k 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.
// project facts

Project facts

GitHub stars
18,540
Forks
3,633
License
Apache-2.0
Last updated on GitHub
3 October 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

Deep learning inside

Neural models do the heavy lifting behind a simple interface.

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.

Free for products

Open licenses let you ship voice features without per-minute API bills.

Scriptable

CLI and Python APIs slot into larger pipelines.

Multilingual

Dozens of languages supported, not just English.

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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/NVIDIA-NeMo/Speech.git
    cd Speech
  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 Speech?

It is an open-source project at NVIDIA-NeMo/Speech with 3,633 forks. Check the repo's contributors and recent commits to see how active maintenance is.

Is Speech free for commercial use?

Apache 2.0 licensed — commercial use allowed with attribution.

Does it work offline?

Most of these run fully offline after the model download.

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.

// keep exploring

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// alternatives

Alternatives in Audio

The most-starred other Audio projects in the LibreAI catalogue — the realistic shortlist if Speech is not the right fit.

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  • Real-Time-Voice-Cloning★ 60.2k

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// more in audio

More in Audio

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  • F5 TTS★ 15.3k

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  • FunASR★ 20.6k

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  • sherpa-onnx★ 15.1k

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Get Speech

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