Wav2vec2 Large Lv60 Phoneme Timit English Timit 4k
English phoneme recognition model fine-tuned from facebook/wav2vec2-large-lv60, achieving a phoneme error rate of 10.53% on the TIMIT dataset
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Release Time : 6/17/2024
Model Overview
This model is optimized for English phoneme recognition tasks, particularly suitable for phoneme-level speech analysis
Model Features
Low phoneme error rate
Achieves a phoneme error rate of 10.53% on the TIMIT test set, demonstrating excellent performance
Detailed phoneme analysis
Provides detailed error analysis for various phoneme categories including vowels, stops, and fricatives
Based on wav2vec2 architecture
Utilizes facebook's advanced wav2vec2-large-lv60 model as the foundation
Model Capabilities
English phoneme recognition
Speech feature extraction
Phoneme-level error analysis
Use Cases
Speech research
Phoneme recognition research
Used for linguistic studies and speech recognition system development
10.53% phoneme error rate
Educational technology
Pronunciation assessment
Can be used for pronunciation accuracy evaluation in language learning applications
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