Automatic Pitch Accent Detection Using Long Short-Term Memory Neural Networks-Reference-Cited by-同舟云学术

Automatic Pitch Accent Detection Using Long Short-Term Memory Neural Networks

Published:2019 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 2019 International Symposium on Signal Processing Systems - SSPS 2019
language:
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Author:

Wu Yizhi¹,Li Sha¹,Li Hongyan¹

Affiliation:

1. College of Information Science and Technology, Donghua University, China Shanghai

Funder

Innovation action plan of 2019 Shanghai young science talents Yang Fan plan

Publisher

ACM Press

Reference21 articles.

1. Qin, Y., & Wang, G. 2014, October. A computer-aided Chinese pronunciation training program for English-speaking learners. In 2014 International Conference on Asian Language Processing (IALP) (pp. 154--157). IEEE.

2. Hirschberg, J. 1993. Pitch accent in context predicting intonational prominence from text. Artificial Intelligence, 63(1--2), 305--340.

3. Zhao, J., Zhang, W. Q., Yuan, H., Johnson, M. T., Liu, J., & Xia, S. 2013. Exploiting contextual information for prosodic event detection using auto-context. EURASIP Journal on Audio, Speech, and Music Processing, 2013(1), 30.

4. Ananthakrishnan, S., & Narayanan, S. S. 2008. Automatic prosodic event detection using acoustic, lexical, and syntactic evidence. IEEE transactions on audio, speech, and language processing, 16(1), 216--228.

5. Imoto, K., Tsubota, Y., Raux, A., Kawahara, T., & Dantsuji, M. 2002. Modeling and automatic detection of English sentence stress for computer-assisted English prosody learning system. In Seventh International Conference on Spoken Language Processing.

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