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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 41 - 60 of 76 [Previous]  /  [Next]  
Committee Date Time Place Paper Title / Authors Abstract Paper #
SP, IPSJ-SLP 2012-12-21
15:25		 Tokyo TITECH(Ookayama) Sparse Coding-Based Voice Conversion from Lip Information
Ryo Aihara, Ryoichi Takashima, Tetsuya Takiguchi, Yasuo Ariki (Kobe Univ.) SP2012-95		 A technology to recognize speech content from lip motion is called visual speech recognition (VSR). VSRis an important c... [more] SP2012-95
pp.119-124
SP, IPSJ-SLP 2012-12-21
15:25		 Tokyo TITECH(Ookayama) Two-step Correction of the Speech Recognition Result based on Syntax and Semantics
Ryohei Nakatani, Tetsuya Takiguchi, Yasuo Ariki (Kobe Univ.) SP2012-96		 This paper presents the new method correcting speech recognition errors
base on long-distance context. As in the past, ... [more]		 SP2012-96
pp.149-154
PRMU, HIP 2012-03-30
15:20		 Hyogo   Discrimination of Unknown Objects from Known Objects Using Multimodal Information
Yuko Ozasa, Yasuo Ariki (Kobe Univ.), Naoto Iwahashi (NICT), Mikio Nakano (HRI-JP) PRMU2011-280 HIP2011-108		 This paper presents a new method for detecting unknown objects and their unknown names in object
manipulation through m... [more]		 PRMU2011-280 HIP2011-108
pp.247-252
SP, NLC, IPSJ-SLP [detail] 2011-12-20
10:55		 Tokyo   Error Correction Using CRF for Mis-Recognition around OOV Words on Speech Recognition Result
Ryohei Nakatani (Kobe Univ.), Naoto Iwahashi (NICT), Mikio Nakano (HRI-JP), Tetsuya Takiguchi, Yasuo Ariki (Kobe Univ.) NLC2011-49 SP2011-94		 This paper presents a fully automatic word error correction on a confusion network
by employing out-of-vocabulary word ... [more]		 NLC2011-49 SP2011-94
pp.139-144
PRMU, FM 2011-12-15
11:00		 Shizuoka Hamamatsu Campus, Shizuoka Univ. Generic Object Recognition by Graph Structural Expression
Takahiro Hori, Tetsuya Takiguchi, Yasuo Ariki (Kobe Univ.) PRMU2011-127		 This paper describes a method for generic object recognition using graph structural expression. In recent years, generic... [more] PRMU2011-127
pp.19-24
SP 2011-07-23
09:55		 Hokkaido Jozankei Grand Hotel Constrained Spectrum Generation for Mixed Sound Analysis Based on Probabilistic Spectrum Envelope
Toru Nakashika, Tetsuya Takiguchi, Yasuo Ariki (Kobe Univ.) SP2011-50		 NMF (Non-negative matrix factorization) has been one of the most widely-used techniques for signal analysis in recent ye... [more] SP2011-50
pp.51-56
SP 2011-07-23
13:00		 Hokkaido Jozankei Grand Hotel Estimation of Head Orientation Based on Discrimination of Cross-power Spectrum Phase Coefficients
Ryoichi Takashima, Tetsuya Takiguchi, Yasuo Ariki (Kobe Univ.) SP2011-51		 This paper presents a talker's head orientation estimation method using 2ch microphones. In recent researches, some app... [more] SP2011-51
pp.57-62
EA, SIP, SP 2011-05-13
13:50		 Osaka Ritsumeikan Univ. Estimation of Head Orientation Based on Discrimination of Acoustic Transfer Functions
Ryoichi Takashima, Tetsuya Takiguchi, Yasuo Ariki (Kobe Univ.) EA2011-29 SIP2011-29 SP2011-29		 This paper presents a talker's head orientation estimation method using only a single microphone, where phoneme HMMs (Hi... [more] EA2011-29 SIP2011-29 SP2011-29
pp.167-172
SP 2011-01-28
10:15		 Kyoto NICT Feature Selection for Single-Channel Sound Source Localization Using the Acoustic Transfer Function
Ryoichi Takashima, Tetsuya Takiguchi, Yasuo Ariki (Kobe Univ.) SP2010-111		 This paper presents a sound source (talker) localization method using only a single microphone. In our previous work, w... [more] SP2010-111
pp.49-54
NLC, SP
(Joint) [detail]		 2010-12-21
15:35		 Tokyo National Olympics Memorial Youth Center Towards the Domain Independent Why Text Segment Classification by Bag of Grammar and Rule Based Hybrid Model
Katsuyuki Tanaka, Tetsuya Takiguchi, Yasuo Ariki (Kobe Univ) NLC2010-24 SP2010-97		  [more] NLC2010-24 SP2010-97
pp.103-108
NLC, SP
(Joint) [detail]		 2010-12-21
16:40		 Tokyo National Olympics Memorial Youth Center Spoken Dialogue Manager Using Partially Observable Markov Decision Processes with Hierarchical Reinforcement Learning
Yasuhide Kishimoto, Tetsuya Takiguchi, Yasuo Ariki (Kobe Univ.) NLC2010-25 SP2010-98		 In this paper,we propose a dialogue manager using Partially Observable Markov Decision Processes (POMDP) that can treat ... [more] NLC2010-25 SP2010-98
pp.121-126
NLC, SP
(Joint) [detail]		 2010-12-21
16:40		 Tokyo National Olympics Memorial Youth Center Iterative basis generation and supervised non-negative matrix factorization for signal analysis
Toru Nakashika, Tetsuya Takiguchi, Yasuo Ariki (Kobe Univ.) NLC2010-29 SP2010-102		 NMF (Non-negative Matrix Factorization) has been one of the most useful techniques for signal analysis in recent years.
... [more]		 NLC2010-29 SP2010-102
pp.195-200
PRMU, SP, WIT 2010-10-09
10:50		 Chiba   A Study on Dysarthric Speech Recognition using Buried Markov Model
Chikoto Miyamoto, Yuto Komai, Tetsuya Takiguchi, Yasuo Ariki (Kobe Univ.), Ichao Li (Otemon Gakuin Univ.) PRMU2010-101 SP2010-57 WIT2010-45		 Recently, the accuracy of speaker-independent speech recognition has been remarkably improved by use of stochastic model... [more] PRMU2010-101 SP2010-57 WIT2010-45
pp.69-74
SP 2010-07-24
15:10		 Miyagi Ryokusui-tei (Sendai) Spoken Dialogue Manager in Car Navigation System Using Partially Observable Markov Decision Processes with Hierarchical Reinforcement Learning
Yasuhide Kishimoto, Tetsuya Takiguchi, Yasuo Ariki (Kobe Univ.) SP2010-43		 In this paper，we propose a dialogue manager in a car navigation systems using Partially Observable Markov Decision Proce... [more] SP2010-43
pp.49-54
SP 2010-06-18
09:30		 Fukuoka Kyushu University Feature Extraction with Bilateral Filter for Real Environment Speech Recognition
Keishiro Yamada, Yasuo Ariki, Tetsuya Takiguchi (Kobe Univ.) SP2010-29		 In this paper, we propose a method to reduce the noise component superimposed on speech with keeping the formants and th... [more] SP2010-29
pp.43-48
PRMU, SP, MVE, CQ 2010-01-22
15:50		 Kyoto Kyoto Univ. Speech Recognition Based on Lip Area Feature Captured by AAM
Yuto Komai, Chikoto Miyamoto, Tetsuya Takiguchi, Yasuo Ariki (kobe Univ.) CQ2009-107 PRMU2009-206 SP2009-147 MVE2009-129		 As one of the techniques for robust speech recognition under the noise environment, multimodal speech recognition using ... [more] CQ2009-107 PRMU2009-206 SP2009-147 MVE2009-129
pp.357-362
SP, NLC 2009-12-22
15:50		 Tokyo Univ. of Tokyo A study on speech synthesis by modeling harmonics structure with Multi Beta Mixture Model
Toru Nakashika (Kobe Univ.), Ryuki Tachibana, Masafumi Nishimura (IBM Japan), Tetsuya Takiguchi, Yasuo Ariki (Kobe Univ.) NLC2009-26 SP2009-90		 There are currently some researches related to speech synthesis, but here we present a new framework
for speech synthes... [more]		 NLC2009-26 SP2009-90
pp.165-170
SP, NLC 2009-12-22
15:50		 Tokyo Univ. of Tokyo Dysarthric Speech Recognition Using Pose-Robust Lip Area Feature Extraction Based on AAM and Acoustic Features
Chikoto Miyamoto, Yuto Komai, Tetsuya Takiguchi, Yasuo Ariki (Kobe Univ.), Ichao Li (Otemon Gakuin Univ.), Toshitaka Nakabayashi (Kobe Univ.) NLC2009-29 SP2009-93		 We investigated the speech recognition of a person with articulation disorders resulting from athetoid cerebral palsy. T... [more] NLC2009-29 SP2009-93
pp.195-200
WIT, SP 2009-10-29
17:00		 Aomori ASPAM A Study on Dynamic Features for Dysarthric Speech Recognition
Chikoto Miyamoto, Tetsuya Takiguchi, Yasuo Ariki (Kobe Univ.), Ichao Li (Otemon Gakuin Univ.), Toshitaka Nakabayashi (Kobe Univ.) SP2009-55 WIT2009-61		 Recently, the accuracy of speaker-independent speech recognition has been remarkably improved by use of stochastic model... [more] SP2009-55 WIT2009-61
pp.37-42
SP 2009-07-17
13:00		 Fukushima   Random-Projection-Based Feature Transformation
Mariko Yoshii, Tetsuya Takiguchi, Yasuo Ariki (Kobe Univ.), Jeff Bilmes (Univ. of Washington.) SP2009-41		 This paper proposes a novel feature transformation method for speech recognition based on random projection. Random proj... [more] SP2009-41
pp.1-6
 Results 41 - 60 of 76 [Previous]  /  [Next]  
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