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Wav2vec2 Base Timit Demo Google Colab

Developed by Nancyzzz
A speech recognition model fine-tuned on the TIMIT dataset based on facebook/wav2vec2-base
Downloads 103
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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