HILvoice:Human-in-the-Loop Style Selection for Elder-Facing Speech Synthesis-Reference-Cited by-同舟云学术

HILvoice:Human-in-the-Loop Style Selection for Elder-Facing Speech Synthesis

Published:2022-12-11 Issue: Volume: Page:
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Container-title:2022 13th International Symposium on Chinese Spoken Language Processing (ISCSLP)
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Author:

Chen Xueyuan¹,Huang Qiaochu¹,Wu Xixin²,Wu Zhiyong¹,Meng Helen²

Affiliation:

1. Tsinghua University,Shenzhen International Graduate School,Shenzhen,China

2. The Chinese University of Hong Kong,Hong Kong SAR,China

Funder

National Natural Science Foundation of China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10037756/10037573/10037859.pdf?arnumber=10037859

Reference21 articles.

1. Corpus building for data-driven tts systems;zhu;Proceedings of 2002 IEEE Workshop on Speech Synthesis, 2002.,2002

2. Viewpoint: Human-in-the-loop Artificial Intelligence

3. GFM-Voc: A real-time voice quality modification system;perrotin;The 20th Annual Conference of the International Speech Communication Association INTERSPEECH 2019,2019

4. Collection and Analyses of Exemplary Speech Data to Establish Easy-to-Understand Speech Synthesis for Japanese Elderly Adults

5. The Investigation into Design Elements of Auditory Pleasure Experience for the Elderly Based on a Testing Tools Development

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