Code-Switching ASR and TTS Using Semisupervised Learning with Machine Speech Chain-Reference-Cited by-同舟云学术

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Code-Switching ASR and TTS Using Semisupervised Learning with Machine Speech Chain

Published:2021-10-01 Issue:10 Volume:E104.D Page:1661-1677
ISSN:0916-8532
Container-title:IEICE Transactions on Information and Systems
language:en
Short-container-title:IEICE Trans. Inf. & Syst.

Author:

NAKAYAMA Sahoko¹,TJANDRA Andros¹,SAKTI Sakriani¹,NAKAMURA Satoshi¹

Affiliation:

1. Augmented Human Communication Lab, Nara Institute of Science and Technology

Publisher

Institute of Electronics, Information and Communications Engineers (IEICE)

Subject

Artificial Intelligence,Electrical and Electronic Engineering,Computer Vision and Pattern Recognition,Hardware and Architecture,Software

Link

https://www.jstage.jst.go.jp/article/transinf/E104.D/10/E104.D_2021EDP7005/_pdf

Reference59 articles.

1. [1] Japanese Ministry of Health, Labour and Welfare, “Overview of the population statistics in 2017 [in Japanese].” https://www.mhlw.go.jp/toukei/saikin/hw/jinkou/kakutei17/xls/29toukei.xls, 2017.

2. [2] S. Poplack, Code switching: Linguistic, pp.2062-2065, Elsevier, 2001.

3. [3] M. Nakamura, “Developing codeswitching patterns of a Japanese/English bilingual child,” Proc. ISB4, Somerville, MA, USA, pp.1679-1689, 2005.

4. [4] S.S. Fotos, “Japanese-English code switching in bilingual children,” JALT Journal, vol.12, no.1, pp.75-98, 1990.

5. [5] A. Tjandra, S. Sakti, and S. Nakamura, “Listening while speaking: Speech chain by deep learning,” Proc. ASRU, Okinawa, Japan, pp.301-308, IEEE, 2017. 10.1109/asru.2017.8268950

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