Polyphone Disambiguation On Cpp
Metrics
Accuracy
Results
Performance results of various models on this benchmark
Model Name | Accuracy | Paper Title | Repository |
|---|---|---|---|
| g2pM (BERT) | 97.85 | g2pM: A Neural Grapheme-to-Phoneme Conversion Package for Mandarin Chinese Based on a New Open Benchmark Dataset | - |
| g2pM (BiLSTM) | 97.31 | g2pM: A Neural Grapheme-to-Phoneme Conversion Package for Mandarin Chinese Based on a New Open Benchmark Dataset | - |
| g2pW | 99.08 | g2pW: A Conditional Weighted Softmax BERT for Polyphone Disambiguation in Mandarin | - |
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