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All Technical Committee Conferences (Searched in: All Years)
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Search Results: Conference Papers |
Conference Papers (Available on Advance Programs) (Sort by: Date Descending) |
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Committee |
Date Time |
Place |
Paper Title / Authors |
Abstract |
Paper # |
SP, IPSJ-SLP (Joint) |
2015-07-16 17:20 |
Nagano |
Katakura Suwako Hotel |
Experimental evaluation of network size effect in speaker adaptive trained DNNs embedding linear transformation networks Tsubasa Ochiai (Doshisha Univ./NICT), Shigeki Matsuda (Doshisha Univ.), Hideyuki Watanabe, Xugang Lu, Hisashi Kawai (NICT), Shigeru Katagiri (Doshisha Univ.) SP2015-41 |
Recently we proposed a novel speaker adaptation method that applied the Speaker Adaptive Training
(SAT) concept to DNN-... [more] |
SP2015-41 pp.31-36 |
PRMU |
2014-03-14 15:30 |
Tokyo |
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Experimental study on effect of pre-training in deep learning through visualization of unit outputs Tsubasa Ochiai (Doshisha Univ./NICT), Hideyuki Watanabe (NICT), Shigeru Katagiri, Miho Ohsaki (Doshisha Univ.), Shigeki Matsuda, Chiori Hori (NICT) PRMU2013-210 |
To clarify the capability of recent powerful classifier concept, Deep Neural Networks (DNN), we experimentally
investig... [more] |
PRMU2013-210 pp.253-258 |
PRMU, IPSJ-CVIM, MVE [detail] |
2014-01-23 09:30 |
Osaka |
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Minimum Classification Error Training with Automatic Determination of Loss Smoothness Common to All Classes Kensuke Ota (Doshisha Univ.), Hideyuki Watanabe (NICT), Shigeru Katagiri, Miho Ohsaki (Doshisha Univ.), Shigeki Matsuda, Chiori Hori (NICT) PRMU2013-91 MVE2013-32 |
The smoothness of the smooth classification error count loss used in the Minimum Classification Error (MCE) training has... [more] |
PRMU2013-91 MVE2013-32 pp.1-6 |
PRMU, IPSJ-CVIM, MVE [detail] |
2014-01-23 10:00 |
Osaka |
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Minimum Classification Error Training with Automatic Control of Loss Smoothness Hideaki Tanaka (Doshisha Univ.), Hideyuki Watanabe (NICT), Shigeru Katagiri, Miho Ohsaki (Doshisha Univ.), Shigeki Matsuda, Chiori Hori (NICT) PRMU2013-92 MVE2013-33 |
The Minimum Classification Error (MCE) training has been successfully applied to various types of classifiers. However, ... [more] |
PRMU2013-92 MVE2013-33 pp.7-12 |
PRMU, IPSJ-CVIM, MVE [detail] |
2014-01-23 10:30 |
Osaka |
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Multi-Class Support Vector Machine based on Minimum Classification Error Criterion Hisashi Uehara (Doshisha Univ.), Hideyuki Watanabe (NICT), Shigeru Katagiri, Miho Ohsaki (Doshisha Univ.), Shigeki Matsuda, Chiori Hori (NICT) PRMU2013-93 MVE2013-34 |
Gradient-descent-based optimization methods used in Minimum Classification Error (MCE) training are not necessarily easi... [more] |
PRMU2013-93 MVE2013-34 pp.13-18 |
PRMU, IPSJ-CVIM, MVE [detail] |
2014-01-23 11:00 |
Osaka |
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Large Geometric Margin Minimum Classification Error Training with Automatic Optimization Of The Number of Prototypes Yuji Takayama (Doshisha Univ.), Hideyuki Watanabe (NICT), Shigeru Katagiri, Miho Ohsaki (Doshisha Univ.), Shigeki Matsuda, Chiori Hori (NICT) PRMU2013-94 MVE2013-35 |
Large Geometric Margin Minimum Classification Error (LGM-MCE) training, which adopts geometric-margin-based misclassific... [more] |
PRMU2013-94 MVE2013-35 pp.19-24 |
SP, IPSJ-SLP (Joint) |
2013-07-26 17:00 |
Miyagi |
Soho (togatta spa) |
[Invited Talk]
DNN training for automatic speech recognition accelerated by GPU Shigeki Matsuda (NICT) SP2013-61 |
[more] |
SP2013-61 pp.51-56 |
SP |
2008-06-27 - 2008-06-28 |
Hokkaido |
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Objective evaluation of English timing control by Japanese learners Shizuka Nakamura (Waseda Univ.), Shigeki Matsuda, Hiroaki Kato (NICT/ATR), Minoru Tsuzaki (Kyoto City Univ. of Arts), Yoshinori Sagisaka (Waseda Univ.) SP2008-28 |
Automatic evaluation of English timing control proficiency is carried out by comparing segmental duration differences be... [more] |
SP2008-28 pp.49-54 |
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