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Wav2vec2 Base Timit Demo Colab3
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Wav2vec2 Base Timit Demo Colab3
Developed by sherry7144
A speech recognition model fine-tuned on the TIMIT dataset based on the facebook/wav2vec2-base model
Downloads 24
Release Time : 5/2/2022
Model Overview
This is a pre-trained model for English speech recognition, optimized for recognition performance through fine-tuning on specific datasets
Model Features
Efficient Fine-tuning
Fine-tuned based on the pre-trained wav2vec2-base model, optimizing speech recognition performance for specific scenarios
Word Error Rate Optimization
After fine-tuning, achieved a word error rate (WER) of 0.6055 on the evaluation set
Model Capabilities
English Speech Recognition
Audio-to-Text Conversion
Use Cases
Speech Transcription
Meeting Minutes
Automatically convert English meeting recordings into text transcripts
Word error rate 0.6055
Voice Notes
Convert English voice notes into searchable text
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