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Wav2vec2 Base Timit Demo Colab11
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Wav2vec2 Base Timit Demo Colab11

Developed by hassnain
A speech recognition model fine-tuned on the TIMIT dataset based on the facebook/wav2vec2-base model
Speech Recognition
Transformers
Open Source License:Apache-2.0#Speech Recognition#Low Word Error Rate#TIMIT Dataset
Downloads 18
Release Time : 5/1/2022

Model Overview

This model is a fine-tuned version of wav2vec2-base, specializing in English speech recognition tasks, and performs excellently on the TIMIT dataset

Model Features

Efficient Speech Recognition
Based on the wav2vec2 architecture, providing high-quality speech-to-text capabilities
Fine-tuning Optimization
Specially fine-tuned on the TIMIT dataset, improving recognition accuracy in specific domains
Lightweight
Based on the wav2vec2-base version, with a relatively small model size

Model Capabilities

English Speech Recognition
Audio to Text
Automatic Speech Transcription

Use Cases

Speech Transcription
Meeting Minutes
Automatically convert English meeting recordings into text transcripts
Word Error Rate 0.7418
Voice Notes
Convert English voice notes into searchable text
Assistive Technology
Real-time Captions
Generate real-time captions for English video content
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