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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 1 - 20 of 32  /  [Next]  
Committee Date Time Place Paper Title / Authors Abstract Paper #
AP 2023-03-17
Toyama Toyama Prefectural Civic Hall
(Primary: On-site, Secondary: Online)
[Invited Talk (Young Researcher)] Application of Advanced Linear Algebra Techniques to Array Signal Processing
Changyu Zhou, Motoyuki Sato (Tohoku Unvi.) AP2022-248
In this paper, some advanced linear algebra techniques are introduced to improve the DOA estimation problems in the fiel... [more] AP2022-248
(Joint) [detail]
Online Online (Zoom) A Consideration on Estimation Accuracy Improvement of Unlearned Music Pieces in Music Listener's Emotion Estimation Using Bio-signals
Nanami Tanizawa, Mutsumi Suganuma, Wataru Kameyama (Waseda Univ.) CQ2021-118
We are conducting a research of music listener’s emotion estimation by using bio-signals in order to utilize it for musi... [more] CQ2021-118
EA 2020-12-14
Online Online Sound source separation method for use in live concerts
Ryotaro Yamada, Kota Takahashi (UEC) EA2020-47
In live concerts, musical instrument sounds are mixed at vocal microphone, which makes it difficult to mix properly. To ... [more] EA2020-47
EA, ASJ-H 2020-07-21
Online Online Evaluation of components for new auditory signal in automobile
Yoshinori Kamizono, Takao Onoye, Wataru Kobayashi (Osaka Univ.), Daisuke Okamoto EA2020-13
The purpose of this study is to contribute to driving environment with safe and comfortable by next-generation auditory ... [more] EA2020-13
SIS 2020-03-06
Saitama Saitama Hall
(Cancelled but technical report was issued)
A method of audio signal processing for adding healing effect to music
Yuga Yamada, Kaoru Arakawa (Meiji.Univ.) SIS2019-56
Healing music is a general term of music that can relax people by listening. Some healing music on the market is produce... [more] SIS2019-56
EA, ASJ-H 2018-08-24
Miyagi Tohoku Gakuin Univ. Acoustic measurements using a frequency domain velvet noise and interference-free power spectral representations of periodic sounds
Hideki Kawahara (Wakayama Univ.), Masanori Morise (Univ. Yamanashi), Mitsunori Mizumachi (Kyu Tech.) EA2018-42
We propose a new framework consisting of a test signal for acoustic impulse response measurement and analysis procedures... [more] EA2018-42
Hokkaido Hokkaido Univ. Evaluation of Position Estimation of a Human Body around a Vehicle by FDTD Propagation Analysis
Yuki Ito, Hisato Iwai, Hideichi Sasaoka (Doshisha Univ.), Kiyokazu Ieda (Aisin Seiki Co, Ltd.) AP2018-56
As a method of estimating position of a human body around a vehicle, a sensing technique using radio wave is considered.... [more] AP2018-56
SP 2016-08-24
Kyoto ACCMS, Kyoto Univ. [Invited Talk] Unsupervised Music Understanding based on Hierarchical Bayesian Acoustic and Language Models
Kazuyoshi Yoshii (Kyoto Univ.) SP2016-29
This paper presents a statistical approach to unsupervised music understanding. Our goal is to estimate musical notes fr... [more] SP2016-29
IBISML 2015-11-26
Ibaraki Epochal Tsukuba [Poster Presentation] Nonnegative Matrix Factorization and Positive Semidefinite Tensor Factorization based on Student's t Distributions for Music Signal Analysis
Kazuyoshi Yoshii, Katsutoshi Itoyama (Kyoto Univ.), Masataka Goto (AIST) IBISML2015-70
This paper presents new probabilistic models of nonnegative matrix factorization (NMF) and positive semidefinite tensor ... [more] IBISML2015-70
IE, ITS, ITE-AIT, ITE-HI, ITE-ME, ITE-MMS, ITE-CE [detail] 2015-02-23
Hokkaido Hokkaido Univ. A Note on Classification of Individual Favorite Musical Pieces Utilizing EEG Signals during Listening to Music -- Performance Improvement via CCA Considering Class Information --
Ryosuke Sawata, Takahiro Ogawa, Miki Haseyama (Hokkaido Univ.)
This paper presents a new method using individual EEG signals for improving his/her favorite music classification. Our p... [more]
IBISML 2014-11-18
Aichi Nagoya Univ. [Poster Presentation] An Infinite Superimposed Discrete All-pole Model based on Gamma Processes for Music Signal Analysis
Kazuyoshi Yoshii, Katsutoshi Itoyama (Kyoto Univ.), Masataka Goto (AIST) IBISML2014-60
This paper presents a probabilistic model that is used for decomposing music audio signals into the three elements of so... [more] IBISML2014-60
IBISML 2013-11-13
Tokyo Tokyo Institute of Technology, Kuramae-Kaikan [Poster Presentation] Infinite Positive Semidefinite Tensor Factorization based on Gamma Process for Music Signal Analysis
Kazuyoshi Yoshii (AIST), Ryota Tomioka (Univ. of Tokyo), Daichi Mochihashi (ISM), Masataka Goto (AIST) IBISML2013-57
This paper presents positive semidefinite tensor factorization (PSDTF) that is a natural extension of nonnegative matrix... [more] IBISML2013-57
SP, EA, SIP 2013-05-16
Okayama   Analysis on musical noise generation for blind speech extraction based on generalized MMSE short-time spectral amplitude estimator
Shunsuke Nakai, Suzumi Kanehara, Ryoichi Miyazaki, Hiroshi Saruwatari, Kiyohiro Shikano (NAIST) EA2013-13 SIP2013-13 SP2013-13
In this paper, we give an analysis on the amount of musical noise for blind speech extraction based on a generalized mi... [more] EA2013-13 SIP2013-13 SP2013-13
IBISML 2012-11-07
Tokyo Bunkyo School Building, Tokyo Campus, Tsukuba Univ. Infinite Composite Autoregressive Models based on Gamma Processes for Music Signal Analysis
Kazuyoshi Yoshii, Masataka Goto (AIST) IBISML2012-51
This paper presents novel statistical models that can be used for multiple fundamental frequency (F0) estimation and tim... [more] IBISML2012-51
PRMU 2012-10-04
Chiba   Human-Computer Dance Interaction with Real-time Control using Wiimote and Kinect
Takuya Yasunaga (Osaka Univ.), Atsushi Nakazawa (PRESTO), Haruo Takemura (CMC, Osaka Univ.) PRMU2012-56
This paper presents a new approach for synthesizing dance performance matched to input music,
based on the emotional as... [more]
MVE, HI-SIG-VR 2012-09-27
Hokkaido Two venues in Nemuro Virtual Dance Hall -- Dance Interaction using body movement --
Takuya Yasunaga (Osaka Univ.), Atsushi Nakazawa (PRESTO), Haruo Takemura (CMC, Osaka Univ.) MVE2012-37
This paper presents a new approach for synthesizing dance performance matched to input music,
based on the emotional as... [more]
EA 2012-06-08
Shizuoka Yamaha Co. Underdetermined DOA estimation by the non-linear MUSIC based on higher-order moment analysis
Yuya Sugimoto, Shigeki Miyabe, Takeshi Yamada, Shoji Makino (Univ. Tsukuba) EA2012-41
This paper describes a new approach to extend MUltiple SIgnal Classification (MUSIC) to underdeter-mined direction-of-ar... [more] EA2012-41
EA 2012-03-16
Tokyo Central Research Laboratory, Hitachi, Ltd. Improvement of the element selection scheme for FDICA
Kenji Fujita, Kota Takahashi (UEC) EA2011-127
ICA attracts attention as a solution of BSS. However, it is very difficult to get a good separation performance in real ... [more] EA2011-127
Osaka Kansai Univ. Evaluation of Musical-Noise-Free Noise Reduction Under Real Acoustic Environments
Ryoichi Miyazaki, Hiroshi Saruwatari, Kiyohiro Shikano (NAIST), Kazunobu Kondo (YAMAHA) EA2011-108
In this report, we propose a new theory of nonlinear noise reduction with
a perfectly musical-noise-free property, wher... [more]
AP 2011-01-20
Saga Saga Univ. Indoor High-Resolution Direction Finding of Terrestrial Digital TV Signal based on Total Recording scheme
Kazuo Morokuma, Atsushi Takemoto, Yoshio Karasawa (UEC Tokyo) AP2010-141
As the progress of the spread of terrestrial digital broadcasting services, the demands for fixed HDTV broadcast indoor ... [more] AP2010-141
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