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Wav2vec2 Large Xlsr 53 English

Developed by Xenova
Large-scale speech recognition model based on the wav2vec 2.0 architecture, supporting English speech-to-text conversion
Downloads 14
Release Time : 7/26/2023

Model Overview

This model is an automatic speech recognition (ASR) model developed based on Facebook's wav2vec 2.0 architecture, specifically optimized for English speech, capable of accurately converting English speech into text.

Model Features

High Accuracy English Recognition
Model optimized for English speech, providing high-accuracy speech-to-text capabilities
Based on wav2vec 2.0 Architecture
Utilizes the advanced speech recognition architecture developed by Facebook, with powerful feature extraction capabilities
Web Compatibility
Provides ONNX format weights for easy deployment and use in web environments

Model Capabilities

English Speech Recognition
Real-time Speech-to-Text
Audio File Transcription

Use Cases

Speech Transcription
Meeting Minutes
Automatically convert English meeting recordings into text records
Improves meeting documentation efficiency and facilitates subsequent retrieval and analysis
Podcast Transcription
Convert English podcast content into text
Facilitates content indexing and text version publishing
Assistive Tools
Real-time Caption Generation
Generate real-time captions for English videos or live streams
Enhances content accessibility
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