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Wav2vec2 Common Voice Accents
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Wav2vec2 Common Voice Accents
Developed by willcai
A speech recognition model fine-tuned on the common_voice dataset based on facebook/wav2vec2-xls-r-300m, supporting multiple accent recognition
Downloads 24
Release Time : 3/10/2022
Model Overview
This model is a wav2vec2 model optimized for multi-accent speech recognition, fine-tuned on the common_voice dataset, suitable for scenarios requiring processing of speech with different accents
Model Features
Multi-accent support
Fine-tuned on the common_voice dataset, capable of recognizing and processing speech with various accents
Efficient training
Utilizes mixed-precision training and distributed training techniques to improve training efficiency
Optimized performance
After 30 training epochs, the word error rate (WER) was reduced to 0.4269
Model Capabilities
Speech recognition
Multi-accent processing
Speech-to-text
Use Cases
Speech transcription
Meeting minutes
Automatically transcribe meeting recordings containing different accents
Word error rate 0.4269
Voice assistants
Provides more accurate accent recognition capabilities for voice assistants
Education
Language learning applications
Assists language learners in identifying and correcting pronunciation
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