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Wav2vec Trained

Developed by eugenetanjc
This model is a fine-tuned speech recognition model based on facebook/wav2vec2-base, achieving a word error rate of 0.1042 on the evaluation set.
Downloads 70
Release Time : 6/25/2022

Model Overview

A speech recognition model based on the wav2vec2 architecture, used to convert speech into text.

Model Features

Low Word Error Rate
Achieved a word error rate of 0.1042 on the evaluation set.
Efficient Training
Optimized training efficiency using mixed-precision training (native AMP).
Linear Learning Rate Scheduling
Adopted a linear learning rate scheduler with 1000 warm-up steps to optimize the training process.

Model Capabilities

Speech-to-Text
Automatic Speech Recognition

Use Cases

Speech Transcription
Automatic Meeting Minutes Generation
Automatically convert meeting recordings into written transcripts
Voice Memo Conversion
Convert voice memos into editable text
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