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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 1 - 9 of 9  /   
Committee Date Time Place Paper Title / Authors Abstract Paper #
SP, SIP, EA 2017-03-02
13:10
Okinawa Okinawa Industry Support Center Feature Extraction Using Adaptive Restricted Boltzmann Machine for Dysarthric Speech Recognition
Yuki Takashima (Kobe Univ.), Toru Nakashika (UEC), Tetsuya Takiguchi, Yasuo Ariki (Kobe Univ.)
 [more] EA2016-140 SIP2016-195 SP2016-135
pp.321-326
NLC, IPSJ-NL, SP, IPSJ-SLP
(Joint) [detail]
2015-12-02
10:25
Aichi Nagoya Inst of Tech. Simultaneous Modelling of Acoustic, Phonetic, Speaker Features Using Improved Three-Way Restricted Boltzmann Machine
Toru Nakashika (UEC), Tetsuya Takiguchi (Kobe Univ.)
In this paper, we argue the way of modelling speech signals using improved three-way restricted Boltzmann machine (3WRBM... [more] SP2015-71
pp.7-12
WIT, SP, ASJ-H, PRMU 2015-06-18
15:15
Niigata   Phone Labeling Based on Gaussian Mixture Model for Dysarthric Speech Recognition
Yuki Takashima (Kobe Univ.), Toru Nakashika (UEC), Tetsuya Takiguchi, Yasuo Ariki (Kobe Univ.)
We investigate in this paper speech recognition for a person with an articulation disorder resulting from athetoid cereb... [more] PRMU2015-44 SP2015-13 WIT2015-13
pp.71-76
NLC, IPSJ-NL, SP, IPSJ-SLP, JSAI-SLUD
(Joint) [detail]
2014-12-16
13:30
Kanagawa Tokyo Institute of Technology (Suzukakedai Campus) [Poster Presentation] Voice Conversion Using Speaker Adapted Restricted Boltzmann Machine
Toru Nakashika, Tetsuya Takiguchi, Yasuo Ariki (Kobe Univ.)
(Advance abstract in Japanese is available) [more] SP2014-126
pp.165-170
SP, IPSJ-MUS 2014-05-25
11:30
Tokyo   A joint restricted Boltzmann machine for dictionary learning in sparse-representation-based voice conversion
Toru Nakashika, Tetsuya Takiguchi, Yasuo Ariki (Kobe Univ.)
In voice conversion, sparse-representation-based methods have recently been garnering attention because they are, relati... [more] SP2014-34
pp.343-348
SP, IPSJ-SLP 2013-12-19
17:15
Tokyo   Speaker-dependent conditional restricted Boltzmann machine for voice conversion
Toru Nakashika, Tetsuya Takiguchi, Yasuo Ariki (Kobe Univ.)
In this paper, we present a voice conversion (VC) method that utilizes conditional restricted Boltzmann machines (CRBMs)... [more] SP2013-88
pp.83-88
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.)
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
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.)
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
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.)
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
 Results 1 - 9 of 9  /   
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