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Wav2vec2 Large Lv60 Phoneme Timit English Timit 4k 002
A fine-tuned English phoneme recognition model based on facebook/wav2vec2-large-lv60 on the TIMIT dataset, achieving a phoneme error rate of 10.53%
Downloads 103
Release Time : 6/17/2024
Model Overview
This model is specifically designed for English phoneme recognition tasks, trained on the TIMIT phoneme set, suitable for speech processing and analysis applications.
Model Features
High-Accuracy Phoneme Recognition
Achieves a phoneme error rate of 10.53% on the TIMIT test set, demonstrating excellent performance.
Comprehensive Phoneme Coverage
Supports the complete TIMIT phoneme set, including vowels, stops, affricates, fricatives, nasals, and approximants/glides.
Optimized Training Process
Utilizes linear learning rate scheduling and native AMP mixed-precision training for high training efficiency.
Model Capabilities
English Phoneme Recognition
Speech Feature Analysis
Phoneme Classification
Use Cases
Speech Processing
Speech Recognition Preprocessing
Serves as a front-end processing module for speech recognition systems, providing phoneme-level analysis results.
Phoneme error rate of 10.53%
Pronunciation Assessment
Used for evaluating pronunciation accuracy in language learning applications.
Academic Research
Phonetic Analysis
Supports the identification and classification of various phonemes in phonetic research.
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