Wav2Vec2

Model ● Covered in 4 stories + Follow

Wav2Vec2 is a speech recognition model that uses Connectionist Temporal Classification architecture for automatic speech recognition tasks. Recent developments include optimization for Graphcore's IPU processors through the Optimum library, support for processing arbitrarily long audio files through chunk-based processing, integration with n-gram language models to improve transcription accuracy, and extension to multilingual variants like XLS-R for low-resource language ASR applications.

Updated 8 August 2026

Specifications

No specifications recorded yet.

Latest developments

Graphcore and Hugging Face Launch New Lineup of IPU-Ready Transformers Hugging Face · 4 years ago · 2

Making automatic speech recognition work on large files with Wav2Vec2 in 🤗 Transformers Hugging Face · 4 years ago · 18

Boosting Wav2Vec2 with n-grams in 🤗 Transformers Hugging Face · 4 years ago · 48

Fine-Tune XLSR-Wav2Vec2 for low-resource ASR with 🤗 Transformers Hugging Face · 4 years ago · 25

Timeline

Month Quarter Year

Q2 2022

26 May Graphcore and Hugging Face Launch New Lineup of IPU-Ready Transformers

Q1 2022

Q4 2021

15 Nov Fine-Tune XLSR-Wav2Vec2 for low-resource ASR with 🤗 Transformers

Relationships

Products & technology

Integrated with Transformers · 1 source
Hugging Face develops this model · 1 source
XLS-R derived from this model · 1 source
Transformers integrated with this model · 1 source

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