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Wav2vec2 Base Checkpoint 14
A speech recognition model based on the wav2vec2 architecture, fine-tuned on the Common Voice dataset
Downloads 16
Release Time : 3/2/2022
Model Overview
This model is a speech recognition model based on the wav2vec2 architecture, fine-tuned on the Common Voice dataset, primarily used for speech-to-text tasks.
Model Features
Efficient Speech Recognition
Based on the wav2vec2 architecture, providing efficient speech-to-text capabilities
Fine-tuning Optimization
Fine-tuned on the Common Voice dataset, optimizing recognition performance
Model Capabilities
Speech Recognition
Speech-to-Text
Use Cases
Speech Transcription
Meeting Minutes
Automatically convert meeting recordings into text transcripts
Word error rate approximately 40.68%
Voice Notes
Convert voice notes into searchable text
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