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Wav2vec2 Base Timit Demo Colab0
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Wav2vec2 Base Timit Demo Colab0

Developed by hassnain
A speech recognition model fine-tuned on the TIMIT dataset based on facebook/wav2vec2-base
Speech Recognition
Transformers
Open Source License:Apache-2.0#Speech Recognition#Low Word Error Rate#TIMIT Fine-tuning
Downloads 20
Release Time : 4/30/2022

Model Overview

This is a pre-trained model for English speech recognition, optimized for recognition performance through fine-tuning on the TIMIT dataset

Model Features

Based on wav2vec2 architecture
Utilizes the wav2vec2-base architecture developed by Facebook, with excellent speech feature extraction capabilities
Fine-tuned on TIMIT dataset
Fine-tuned on the standard TIMIT speech dataset, optimizing English speech recognition performance
Relatively lightweight
Based on the base version rather than the large version, suitable for deployment in resource-constrained environments

Model Capabilities

English speech recognition
Audio to text conversion
Automatic speech transcription

Use Cases

Speech transcription
Automated meeting minutes
Automatically convert English meeting recordings into text transcripts
Word error rate 0.7734
Voice command recognition
Recognize English voice commands
Education
Pronunciation assessment
Used for pronunciation evaluation of English learners
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