Using continuous lexical embeddings to improve symbolic-prosody prediction in a text-to-speech front-end-Reference-Cited by-同舟云学术

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Using continuous lexical embeddings to improve symbolic-prosody prediction in a text-to-speech front-end

Published:2016-03 Issue: Volume: Page:
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Container-title:2016 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
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Author:

Rendel Asaf,Fernandez Raul,Hoory Ron,Ramabhadran Bhuvana

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/7465907/7471614/07472760.pdf?arnumber=7472760

Cited by 12 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Adversarial Multi-Task Learning for Mandarin Prosodic Boundary Prediction With Multi-Modal Embeddings;IEEE/ACM Transactions on Audio, Speech, and Language Processing;2023

2. A Mandarin Prosodic Boundary Prediction Model Based on Multi-Source Semi-Supervision;2022 13th International Symposium on Chinese Spoken Language Processing (ISCSLP);2022-12-11

3. A Character-Level Span-Based Model for Mandarin Prosodic Structure Prediction;ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP);2022-05-23

4. Improving Fluency of Spoken Mandarin for Nonnative Speakers by Prosodic Boundary Prediction Based on Deep Learning;Wireless Communications and Mobile Computing;2022-05-14

5. Exploiting Morphological and Phonological Features to Improve Prosodic Phrasing for Mongolian Speech Synthesis;IEEE/ACM Transactions on Audio, Speech, and Language Processing;2021

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