Wav2vec2 Base Timit Demo Google Colab
A speech recognition model fine-tuned on the TIMIT dataset based on facebook/wav2vec2-base
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Release Time : 6/29/2022
Model Overview
This model is a fine-tuned version of wav2vec2-base for English speech recognition, trained on the TIMIT dataset, capable of converting English speech to text
Model Features
Efficient Speech Recognition
Based on the wav2vec2 architecture, providing efficient English speech recognition capabilities
Fine-tuning Optimization
Fine-tuned on the TIMIT dataset, optimizing speech recognition performance
Lightweight Model
Based on the wav2vec2-base version, relatively lightweight and easy to deploy
Model Capabilities
English Speech Recognition
Speech-to-Text
Use Cases
Speech Transcription
Meeting Minutes
Automatically convert English meeting recordings into text transcripts
Word error rate around 34%
Voice Notes
Convert English voice notes into editable text
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