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Wav2vec2 Base Timit Demo Colab2
This model is a speech recognition model fine-tuned from facebook/wav2vec2-base, achieving a word error rate (WER) of 0.5664 on the evaluation set.
Downloads 16
Release Time : 5/1/2022
Model Overview
A speech recognition model based on the wav2vec2 architecture, suitable for English speech-to-text tasks.
Model Features
Fine-tuning Optimization
Fine-tuned based on the wav2vec2-base model, optimized for specific speech recognition tasks.
Moderate Performance
Achieves a word error rate (WER) of 0.5664 on the evaluation set.
Lightweight
Based on the base version architecture, relatively lightweight.
Model Capabilities
English Speech Recognition
Speech-to-Text
Use Cases
Speech Transcription
Meeting Minutes
Convert English meeting recordings into text records.
Accuracy approximately 43.36% (1-WER)
Voice Notes
Convert personal voice notes into text.
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