Leveraging CNN and Bi-LSTM in Indonesian G2P Using Transformer
Author:
Affiliation:
1. Telkom University, Indonesia
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/3457682.3457706
Reference23 articles.
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2. K. Yao and G. Zweig “Sequence-to-sequence neural net models forgrapheme-to-phoneme conversion ”arXiv preprint arXiv:1506.00196 2015. K. Yao and G. Zweig “Sequence-to-sequence neural net models forgrapheme-to-phoneme conversion ”arXiv preprint arXiv:1506.00196 2015.
3. Mousa A. E. D. & Schuller B. W. (2016 September). Deep Bidirectional Long Short-Term Memory Recurrent Neural Networks for Grapheme-to- Phoneme Conversion Utilizing Complex Many-to-Many Alignments. In Interspeech (pp. 2836-2840). Mousa A. E. D. & Schuller B. W. (2016 September). Deep Bidirectional Long Short-Term Memory Recurrent Neural Networks for Grapheme-to- Phoneme Conversion Utilizing Complex Many-to-Many Alignments. In Interspeech (pp. 2836-2840).
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