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Technical Committee on Speech (SP)  (Searched in: 2019)

Search Results: Keywords 'from:2019-06-13 to:2019-06-13'

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Search Results: Conference Papers
 Conference Papers (Available on Advance Programs)  (Sort by: Date Ascending)
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Committee Date Time Place Paper Title / Authors Abstract Paper #
SP 2019-06-13
Kanagawa Tokyo Institute of Technology A study on style transplantation modeling techniques for DNN-based speech synthesis
Yoshiki Hiruta (Tokyo Tech), Tomoki Koriyama (The Univ. of Tokyo), Yuuki Tachioka (Denso IT Lab), Takao Kobayashi (Tokyo Tech) SP2019-1
This paper investigates style transplantation modeling techniques for DNN-based statistical parametric speech synthesis.... [more] SP2019-1
SP 2019-06-13
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
SP 2019-06-13
Kanagawa Tokyo Institute of Technology A large collection of sentences read aloud by Vietnamese learners of Japanese and native speakers' reverse shadowings
Shintaro Ando, Tasavat Trisitichoke, Yusuke Inoue, Fuki Yoshizawa, Daisuke Saito, Nobuaki Minematsu (UTokyo) SP2019-3
The main objective of language learning is to acquire good communication skills in the target language.
From that viewp... [more]
SP 2019-06-13
Kanagawa Tokyo Institute of Technology Evaluation of Comprehensibility of L2 Speech Based on Native Listeners’ Reverse Shadowing and Their Facial Expressions
Tasavat Trisitichoke, Shintaro Ando, Daisuke Saito, Nobuaki Minematsu (UTokyo) SP2019-4
Recently, researchers' attention has been paid to pronunciation assessment not based on comparison between L2 utterances... [more] SP2019-4
SP 2019-06-13
Kanagawa Tokyo Institute of Technology [Invited Talk] Constructing voice corpus for next-generation speech research
Shinnosuke Takamichi (UTokyo) SP2019-5
Thanks to developments of machine learning techniques including deep learning, solving more diverse issues is required i... [more] SP2019-5
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