Papers by Jae-Min Kim
Fast Bilingual Grapheme-To-Phoneme Conversion (2022.naacl-industry)
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| Challenge: | Autoregressive transformers (ART)-based grapheme-to-phoneme (G2P) models have been proposed for bi/multilingual text-to speech systems. |
| Approach: | They propose a bilingual grapheme-to-phoneme (G2P) model with autoregressive transformers for fast and exact decoding and data augmentation for predicting output length. |
| Outcome: | The proposed model achieves better performance than the previous model and 2700% faster inference speed. |