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Wav2vec2 Base Timit Demo Colab53

Developed by Mudassar
A speech recognition model fine-tuned based on facebook/wav2vec2-base, suitable for the TIMIT dataset
Downloads 22
Release Time : 6/2/2022

Model Overview

This model is a fine-tuned version of facebook/wav2vec2-base on the TIMIT dataset, primarily used for speech recognition tasks.

Model Features

Fine-tuned based on wav2vec2-base
Fine-tuned on facebook/wav2vec2-base, optimized for speech recognition performance
Optimized for TIMIT dataset
Specifically optimized for the TIMIT speech dataset
Lightweight model
Based on the base version, relatively lightweight, suitable for quick deployment

Model Capabilities

English speech recognition
Audio feature extraction

Use Cases

Speech Processing
Speech-to-text
Convert English speech to text
Speech analysis
Extract speech features for analysis
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