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Wav2vec2 Large Xls R 300m Pt Colab

Developed by tonyalves
A speech recognition model fine-tuned on the common_voice dataset based on facebook/wav2vec2-xls-r-300m
Downloads 17
Release Time : 3/2/2022

Model Overview

This model is a pre-trained model for speech recognition tasks, capable of converting speech to text after fine-tuning.

Model Features

Efficient Speech Recognition
Based on the wav2vec2 architecture, it can efficiently and accurately convert speech to text
Large-scale Pretraining
A large-scale pre-trained model with 300 million parameters, featuring powerful feature extraction capabilities
Fine-tuning Optimization
Fine-tuned on the common_voice dataset, optimizing recognition performance

Model Capabilities

Speech Recognition
Audio-to-Text Conversion
Automatic Speech Transcription

Use Cases

Speech Transcription
Meeting Minutes
Automatically convert meeting recordings into text transcripts
Word error rate around 30%
Subtitle Generation
Automatically generate subtitles for video content
Voice Assistants
Voice Command Recognition
Recognize user voice commands
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