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Wav2vec2 Base Librispeech Demo Colab
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Wav2vec2 Base Librispeech Demo Colab

Developed by vishwasgautam
This model is a speech recognition model fine-tuned on the LibriSpeech dataset based on facebook/wav2vec2-base, achieving a word error rate of 0.3174 on the evaluation set.
Speech Recognition
Transformers
Open Source License:Apache-2.0#Speech Recognition#LibriSpeech Fine-tuning#Low Word Error Rate
Downloads 14
Release Time : 4/25/2025

Model Overview

This is a fine-tuned model for speech recognition tasks, based on the wav2vec2 architecture, suitable for English speech-to-text tasks.

Model Features

Based on wav2vec2 Architecture
Uses facebook's wav2vec2-base as the base model, with excellent speech feature extraction capabilities
Low Word Error Rate
Achieved a word error rate of 0.3174 on the evaluation set, demonstrating good performance
Efficient Training
Utilizes mixed-precision training (native AMP) and a linear learning rate scheduler for high training efficiency

Model Capabilities

English Speech Recognition
Speech-to-Text

Use Cases

Speech Transcription
Meeting Transcription
Automatically transcribes English meeting recordings into text records
Word error rate approximately 31.74%
Podcast Content Transcription
Automatically converts English podcast content into text transcripts
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