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Wav2vec2 Base Timit Demo Colab0

Developed by cuzeverynameistaken
A speech recognition model fine-tuned on the TIMIT dataset based on facebook/wav2vec2-base
Downloads 20
Release Time : 4/30/2022

Model Overview

This is a model for English speech recognition, fine-tuned based on the wav2vec2 architecture, suitable for Automatic Speech Recognition (ASR) tasks

Model Features

Efficient Speech Recognition
Based on the wav2vec2 architecture, providing efficient English speech recognition capabilities
Fine-tuning Optimization
Fine-tuned on the TIMIT dataset, optimizing speech recognition performance

Model Capabilities

English Speech Recognition
Automatic Audio Transcription

Use Cases

Speech Transcription
Meeting Minutes Transcription
Automatically transcribe English meeting recordings into text
Voice Note Transcription
Convert English voice notes into editable text
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