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.) EA2016-140 SIP2016-195 SP2016-135 |
[more] |
EA2016-140 SIP2016-195 SP2016-135 pp.321-326 |
SP |
2016-08-24 16:15 |
Kyoto |
ACCMS, Kyoto Univ. |
[Poster Presentation]
Extraction of brain activity related to auditory impressions induced by HVAC sound using non-negative tensor decomposition Hajime Yano, Tetsuya Takiguchi, Yasuo Ariki (Kobe Univ.), Takuya Hotehama (AIST), Masaru Kamiya (DENSO), Seiji Nakagawa (Chiba Univ.) SP2016-34 |
To evaluate auditory impressions induced by HVAC (heating, ventilation and air conditioning) sound using neurophysiologi... [more] |
SP2016-34 pp.37-40 |
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.) SP2016-38 |
[more] |
SP2016-38 pp.59-64 |
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.) SP2015-71 |
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 |
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.) SP2015-72 |
(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.) SP2015-59 |
[more] |
SP2015-59 pp.1-6 |
SP |
2015-10-16 10:00 |
Hyogo |
Kobe Univ. |
Evaluation of Parallel POMDP based on State Space Partition and State Transition Learning Yoji Yamada, Tetsuya Takiguchi, Yasuo Ariki (Kobe Univ.) SP2015-66 |
Significant problems with Partially Observable Markov Decision Process (POMDP) lie in a large number of states, causing ... [more] |
SP2015-66 pp.39-43 |
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.) PRMU2015-44 SP2015-13 WIT2015-13 |
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 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.) SP2014-114 |
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.) SP2014-116 |
Voice conversion is a technique for converting specific information in speech while maintaining the other information, s... [more] |
SP2014-116 pp.87-92 |
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.) SP2014-126 |
(Advance abstract in Japanese is available) [more] |
SP2014-126 pp.165-170 |
SP, IPSJ-SLP (Joint) |
2014-07-25 10:20 |
Iwate |
Hotel Hanamaki |
[Invited Talk]
Voice conversion based on sparse representation and its application to articulation disorders Tetsuya Takiguchi (Kobe Univ.) SP2014-66 |
In recent years, approaches based on sparse representations have gained interest in a broad range of signal processing. ... [more] |
SP2014-66 pp.19-24 |
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.) SP2014-53 WIT2014-8 |
[more] |
SP2014-53 WIT2014-8 pp.39-44 |
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.) SP2014-34 |
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 13:25 |
Tokyo |
|
Classification of Children with Autism Spectrum and Typically Developing Children Using Pitch Features Yasuhiro Kakihara, Tetsuya Takiguchi, Yasuo Ariki (Kobe Univ.), Yasushi Nakai (Kawasaki College), Satoshi Takada (Kobe Univ.) SP2013-83 |
Recent investigations have demonstrated that the early support which specialized in autistic spectrum obstacle(such as P... [more] |
SP2013-83 pp.35-40 |
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.) SP2013-86 |
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) SP2013-87 |
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 |
2013-12-19 17:15 |
Tokyo |
|
Speaker-dependent conditional restricted Boltzmann machine for voice conversion Toru Nakashika, Tetsuya Takiguchi, Yasuo Ariki (Kobe Univ.) SP2013-88 |
In this paper, we present a voice conversion (VC) method that utilizes conditional restricted Boltzmann machines (CRBMs)... [more] |
SP2013-88 pp.83-88 |
PRMU |
2013-02-21 11:00 |
Osaka |
|
RGB-D Based 3D-Object Recognition by LLC Using Depth Spatial Pyramid Takahiro Hori, Tetsuya Takiguchi, Yasuo Ariki (Kobe Univ.) PRMU2012-137 |
Recently introduced high-accuracy RGB-D cameras are capable of providing high quality three dimension information (color... [more] |
PRMU2012-137 pp.43-48 |
SP, IPSJ-SLP |
2012-12-21 10:15 |
Tokyo |
TITECH(Ookayama) |
Interpolation of unlearned position based on local regression for single-channel talker localization using acoustic transfer function Ryoichi Takashima, Tetsuya Takiguchi, Yasuo Ariki (Kobe Univ.) SP2012-92 |
This paper presents a sound source (talker) localization method using only a single microphone. In our previous work, we... [more] |
SP2012-92 pp.75-80 |