Adversarial Multi-Task Learning for Mandarin Prosodic Boundary Prediction With Multi-Modal Embeddings-Reference-Cited by-同舟云学术

Adversarial Multi-Task Learning for Mandarin Prosodic Boundary Prediction With Multi-Modal Embeddings

Published:2023 Issue: Volume:31 Page:2963-2973
ISSN:2329-9290
Container-title:IEEE/ACM Transactions on Audio, Speech, and Language Processing
language:
Short-container-title:IEEE/ACM Trans. Audio Speech Lang. Process.

Author:

Yi Jiangyan¹^ORCID,Tao Jianhua²^ORCID,Fu Ruibo¹^ORCID,Wang Tao¹^ORCID,Zhang Chu Yuan¹^ORCID,Wang Chenglong³^ORCID

Affiliation:

1. State Key Laboratory of Multimodal Arcial Intelligence Systems, Institute of Automation, Chinese Academy of Sciences, University of Chinese Academy of Sciences, Beijing, China

2. Department of Automation, Tsinghua University, Beijing, China

3. University of Chinese Academy of Sciences, Beijing, China

Funder

National Natural Science Foundation of China

Beijing Municipal Science and Technology Commission

Administrative Commission of Zhongguancun Science

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Acoustics and Ultrasonics,Computer Science (miscellaneous),Computational Mathematics

Link

http://xplorestaging.ieee.org/ielx7/6570655/9970249/10214083.pdf?arnumber=10214083

Reference54 articles.

1. Improving Prosodic Boundaries Prediction for Mandarin Speech Synthesis by Using Enhanced Embedding Feature and Model Fusion Approach

2. A brief analysis of the formation rule of Mandarin prosodic words;xiong;Report of Phonetic Research,0

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

4. A Mandarin Prosodic Boundary Prediction Model Based on Multi-Task Learning

5. LPCNET: Improving Neural Speech Synthesis through Linear Prediction

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