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Committee Date Time Place Paper Title / Authors Abstract Paper #
SP 2019-06-13
13:55		 Kanagawa Tokyo Institute of Technology Collection of large-scale Japanese articulatory-acoustic parallel data
Kohei Wakamiya, Fumiaki Taguchi, Riko Watanabe (Kyushu Univ.), Kouichi Katsurada (Tokyo Univ. of Science), Takehiko Makino (Chuo Univ.), Tokihiko Kaburagi (Kyushu Univ.) SP2019-2		 A large-scale Japanese articulatory-acoustic parallel data is a basic data using as a natural speech synthesis using a a... [more] SP2019-2
pp.7-12
SP 2019-01-27
10:15		 Ishikawa Kanazawa-Harmonie A study on End-to-End articulatory-to-speech conversion
Fumiaki Taguchi, Tokihiko Kaburagi (Kyushu Univ.) SP2018-57		 Methods of articulatory-to-speech conversion are beneficial for acquired speech-impaired people, providing a way of prod... [more] SP2018-57
pp.23-28
SP, ASJ-H 2018-01-20
14:55		 Tokyo The University of Tokyo [Poster Presentation] A study on the articulatory-to-speech conversion by using deep learning
Fumiaki Taguchi, Tokihiko Kaburagi (Kyushu Univ.) SP2017-70		 In this study, we examined a method to convert the movement pattern of articulatory organs observed by a magnetic sensor... [more] SP2017-70
pp.27-30
SP 2017-01-21
15:10		 Tokyo The University of Tokyo A Study on the Construction of Articulatory to Acoustic Mapping by Using Deep Neural Network
Fumiaki Taguchi, Tokihiko Kaburagi (Kyushu Univ.) SP2016-73		 This paper presents a method for estimating time series of the acoustic property of the vocal tract expressed by line sp... [more] SP2016-73
pp.53-57
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