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Search Results: Conference Papers
 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 10件中 1~10件目  /   
Committee Date Time Place Paper Title / Authors Abstract Paper #
SP, SIP, EA 2017-03-02
09:00
Okinawa Okinawa Industry Support Center [Poster Presentation] Statistical Voice Conversion Including Duration for Dytharthric Speech
Ryo Aihara, Tetsuya Takigichi, Yasuo Ariki (Kobe Univ.)
 [more] EA2016-137 SIP2016-192 SP2016-132
pp.307-312
SP 2016-08-25
12:45
Kyoto ACCMS, Kyoto Univ. Parallel Dictionary Learning for Voice Conversion Using Discriminative Graph-embedded Non-negative Matrix Factorization
Ryo Aihara, Tetsuya Takiguchi, Yasuo Ariki (Kobe Univ.)
 [more] SP2016-38
pp.59-64
NLC, IPSJ-NL, SP, IPSJ-SLP
(Joint) [detail]
2015-12-02
10:50
Aichi Nagoya Inst of Tech. Parallel Dictionary Learning for Voice Conversion Using Alternating Direction Method of Multipliers
Ryo Aihara, Tetsuya Takiguchi, Yasuo Ariki (Kobe Univ.)
(Advance abstract in Japanese is available) [more] SP2015-72
pp.13-18
SP 2015-10-15
13:00
Hyogo Kobe Univ. Exemplar-based voice conversion for arbitrary speakers
Ryo Aihara, Tetsuya Takiguchi, Yasuo Ariki (Kobe Univ.)
 [more] SP2015-59
pp.1-6
NLC, IPSJ-NL, SP, IPSJ-SLP, JSAI-SLUD
(Joint) [detail]
2014-12-16
11:00
Kanagawa Tokyo Institute of Technology (Suzukakedai Campus) Many-to-one Voice Conversion using Multiple Non-negative Matrix Factorization
Ryo Aihara, Tetsuya Takiguchi, Yasuo Ariki (Kobe Univ.)
Voice conversion (VC) is being widely researched in the field of speech processing because of increased interest in usin... [more] SP2014-114
pp.75-80
NLC, IPSJ-NL, SP, IPSJ-SLP, JSAI-SLUD
(Joint) [detail]
2014-12-16
11:00
Kanagawa Tokyo Institute of Technology (Suzukakedai Campus) Multimodal Voice Conversion using Weighted Features in Noisy Environments
Kenta Masaka, Ryo Aihara, Tetsuya Takiguchi, Yasuo Ariki (Kobe Univ.)
Voice conversion is a technique for converting specific information in speech while maintaining the other information, s... [more] SP2014-116
pp.87-92
SP, WIT, ASJ-H 2014-06-19
16:50
Ishikawa   Individuality-preserving Voice Conversion for Articulation Disorders Using Sparse Dictionary Learning
Ryo Aihara, Tetsuya Takiguchi, Yasuo Ariki (Kobe Univ.)
 [more] SP2014-53 WIT2014-8
pp.39-44
SP, IPSJ-SLP 2013-12-19
16:25
Tokyo   Voice Conversion for Articulation Disorders Using Dictionary Selective Non-negative Matrix Factorization
Ryo Aihara, Tetsuya Takiguchi, Yasuo Ariki (Kobe Univ.)
We present in this paper a voice conversion (VC) method for a person with an articulation disorder resulting from atheto... [more] SP2013-86
pp.71-76
SP, IPSJ-SLP 2013-12-19
16:50
Tokyo   Voice Conversion based on Non-negative Matrix Factorization with Segment Features in Noisy Environments
Takao Fujii, Ryo Aihara, Tetsuya Takiguchi, Yasuo Ariki (Kobe Univ)
This paper presents a voice conversion based on NMF for noisy environments.
We prepared parallel exemplars that consist... [more]
SP2013-87
pp.77-82
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.)
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
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