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Wav2vec2 Base Cv
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Wav2vec2 Base Cv
Developed by jiobiala24
A speech recognition model fine-tuned on the common_voice dataset based on facebook/wav2vec2-base
Downloads 24
Release Time : 3/8/2022
Model Overview
This is a model for speech recognition tasks, based on the wav2vec2 architecture and fine-tuned on the common_voice dataset.
Model Features
Efficient Fine-tuning
Fine-tuned based on the pre-trained wav2vec2-base model, improving recognition accuracy on the common_voice dataset
Good Performance
Achieved a word error rate (WER) of 0.3804 on the evaluation set, demonstrating good performance
Optimized Training
Used linear learning rate scheduling and warm-up strategies for stable training
Model Capabilities
Speech-to-Text
Automatic Speech Recognition
Use Cases
Speech Transcription
Speech-to-Text
Convert speech content into text format
Word error rate 0.3804
Voice Assistant
Voice Command Recognition
Recognize and understand user voice commands
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