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Wav2vec2 Base 960h

huggingface.co·Infrastructure

wav2vec2-base-960h is a self-supervised speech representation model pretrained on 960 hours of LibriSpeech audio and fine-tuned for automatic speech recognition. It converts raw audio to text and is widely used as a base for further fine-tuning in speech applications. The model is hosted on Hugging Face.

Open SourceMITWebAPI
WWav2vec2 Base 960h preview
Visit huggingface.co↗
32.2kstars
6.7kforks
1alternative
2features
2017since

Overview

2 features

In the Voice, TTS & speech space, Wav2vec2 Base 960h takes a focused approach. High-accuracy speech recognition without large amounts of labeled training data. It is built as an open-source project for developers and researchers. The project is open source (MIT). It runs on the web and API.

Facebook builds and maintains Wav2vec2 Base 960h, and it first shipped in 2017. The GitHub repository has been archived.

Summary written by a language model from the project’s public pages.

  • ✓Automatic Speech Recognition
  • ✓Speech Embeddings
Tags
wav2vec2speech-recognitionasr-modellibri-speechhuggingface
AI capabilities
Audio
Inference: LocalWeights: Open

Built with & integrations

Hosting
AWS
AI providers
openai
Runs on
BrowserAPI-only
Detected from
AWS
x-amz-cf-id header · x-amz-cf-pop header · via header
openai
dall- in the HTML

Trust & compliance

License
MIT
Verified signals
✓HTTPS✓Privacy Policy✓Terms of Service✓Open Source
Legal
Privacy Policy →Terms of Service →

Indexing history

1

What PulseGate has recorded for this listing

  1. Indexed4 Aug · 02:04 UTC
    facebook/wav2vec2-base-960h verified against its public source
    Source: PulseGate · Open ↗

Frequently asked questions about Wav2vec2 Base 960h

What is Wav2vec2 Base 960h?
High-accuracy speech recognition without large amounts of labeled training data. It is catalogued under Voice, TTS & speech on PulseGate.
Who should use Wav2vec2 Base 960h?
Wav2vec2 Base 960h is an open-source project built for developers and researchers.
Is Wav2vec2 Base 960h free?
Yes — Wav2vec2 Base 960h is open source under the MIT license and free to use.
What platforms does Wav2vec2 Base 960h run on?
Wav2vec2 Base 960h runs on the web and API.
Is Wav2vec2 Base 960h still active?
Unverified. Wav2vec2 Base 960h has not been re-checked since it entered the index, so there is no finding either way — and only a positive finding would say otherwise.
What projects are similar to Wav2vec2 Base 960h?
Similar projects tracked by PulseGate include Wav2vec2 Lv 60 Espeak Cv Ft, Wav2vec2 Base Vi Vlsp2020, and Wav2vec2 Large Robust L2 English Phoneme Recognition.Wav2vec2 Lv 60 Espeak Cv FtWav2vec2 Base Vi Vlsp2020Wav2vec2 Large Robust L2 English Phoneme Recognition
Who makes Wav2vec2 Base 960h?
Wav2vec2 Base 960h is developed by Facebook.
When did Wav2vec2 Base 960h launch?
Wav2vec2 Base 960h first shipped in 2017.

At a glance

Pricing
Open Source
Platforms
Web
Languages
English
License
MIT
First seen
4 Aug 2026
Built for
developers and researchers
Model
Open source
Solves
High-accuracy speech recognition without large amounts of labeled training data.

Registered as

Hugging Face
facebook/wav2vec2-base-960h

Developer

Facebook
Community-driven

Open source

⚠ Archived
Stars
32,246
Forks
6,669
Open issues
1,352
Last commit
30 Sept 2025
Commits 90d
0
Contributors
433
Authorship
Community-driven
Default branch
main
Latest release
v0.12.2 · 27 Jun 2022

Live coverage

Identity confidence
Medium · 70.4
Indexed
4 Aug 2026
Lifecycle
Alive
First seen
Aug 2026
Last seen
4 Aug 2026
Identity audit (13)
Slug
facebook-wav2vec2-base-960h-huggingface-co
Lifecycle state recorded
4 Aug 2026
Verification state
Indexed for public listing
Listing state
Listed: yes
Index status
Included in index
Latest evidence snapshot
4 Aug 2026
Timeline basis
Indexed-at chronology (no inferred launch/funding milestones).
Name from
Derived from the project's own page and URL.
Category from
Derived from the model's own Hugging Face metadata.
Summary from
Written by a language model from public pages.
Languages from
Detected by a language model from page content.
Last updated
4 Aug 2026
Canonical URL
https://huggingface.co/facebook/wav2vec2-base-960h

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