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Wav2vec2 Base Timit Demo Colab9
This model is a fine-tuned speech recognition model based on facebook/wav2vec2-base on the TIMIT dataset, primarily used for English speech-to-text tasks.
Downloads 16
Release Time : 5/1/2022
Model Overview
A speech recognition model based on the wav2vec2 architecture, fine-tuned on the TIMIT dataset, suitable for English speech-to-text tasks.
Model Features
Based on wav2vec2 Architecture
Utilizes the wav2vec2 base architecture developed by Facebook Research, featuring excellent speech feature extraction capabilities.
Fine-tuned on TIMIT Dataset
Fine-tuned on the TIMIT speech dataset, optimizing performance for English speech recognition.
Low Word Error Rate
Demonstrates a low Word Error Rate (WER) on evaluation sets.
Model Capabilities
English Speech Recognition
Speech-to-Text
Use Cases
Speech Transcription
English Speech Transcription
Convert English speech content into text format
Word Error Rate (WER) of 1.0
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