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All Technical Committee Conferences (Searched in: All Years)
| Committee | Date Time | Place | Paper Title / Authors | Abstract | Paper # | |
| EA | 2020-12-14 09:40 |
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 pp.7-12 |
| MIKA (2nd) |
2019-10-04 10:15 |
Hokkaido | Hokkaido Univ. | [Poster Presentation]
A Study on Target Direction Estimation Characteristics of Capon Algorithm in MIMO Radar Hajime Kimoto, Nobuyoshi Kikuma, Kunio Sakakibara (NIT) |
In recent years, there is an urgent need to develop high-performance radars in order to realize automatic driving and da... [more] | |
| EMM | 2018-01-29 16:35 |
Miyagi | Tohoku Univ. (Aobayama Campus) | [Invited Talk]
Machine Musicianship: When AI meets with music Kyogu Lee (Seoul National Univ.) EMM2017-71 |
With the rapid and recent development in the filed of artificial intelligence research, a number of new and interesting ... [more] | EMM2017-71 p.31 |
| SP, SIP, EA | 2017-03-01 12:40 |
Okinawa | Okinawa Industry Support Center | [Poster Presentation]
Estimation of playing position from music and speech sources based on music database Satoshi Inui, Toru Takahashi (OSU) EA2016-105 SIP2016-160 SP2016-100 |
We describe about music information retrieval (MIR) system in real environment. In the environment, music and non-music ... [more] | EA2016-105 SIP2016-160 SP2016-100 pp.129-134 |
| IBISML | 2015-11-26 15:00 |
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 pp.131-138 |
| SIP, EA, SP | 2015-03-03 10:45 |
Okinawa | [Poster Presentation]
Multimodal source number estimation in multi-party conversations Yukoh Wakabayashi, Masato Nakayama, Takanobu Nishiura, Yoichi Yamashita (Ritsumeikan Univ.) EA2014-120 SIP2014-161 SP2014-183 |
Source number plays an important role in blind source separation (BSS) and sound source localization (SSL) based on subs... [more] | EA2014-120 SIP2014-161 SP2014-183 pp.267-272 |
|
| US, EA (Joint) |
2015-01-29 10:15 |
Kyoto | Doshisha Univ. | Simultaneous adaptation of time-series a priori statistical model and spectral basis for binaural source separation Yuki Murota (NAIST), Daichi Kitamura (NII), Shoichi Koyama, Hiroshi Saruwatari (The Univ. of Tokyo), Satoshi Nakamura (NAIST) EA2014-64 |
In this paper, we propose a new approach for addressing binaural music signal separation based on the simultaneous adapt... [more] | EA2014-64 pp.27-32 |
| IBISML | 2014-11-18 15:00 |
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 pp.191-198 |
| EA, US (Joint) |
2014-01-28 14:30 |
Osaka | Kansai University, Centenary Memorial Hall | Postfilter-based nonnegative matrix factorization with statistical model parameter estimation Yuki Murota, Daichi Kitamura, Shunsuke Nakai, Hiroshi Saruwatari, Satoshi Nakamura (NAIST), Kazunobu Kondo, Yu Takahashi (YAMAHA) EA2013-116 |
(To be available after the conference date) [more] | EA2013-116 pp.75-80 |
| IBISML | 2013-11-13 15:45 |
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 pp.161-168 |
| SP, EA, SIP | 2013-05-16 17:45 |
Okayama | Study on optimal divergence for superresolution-based supervised nonnegative matrix factorization Daichi Kitamura, Hiroshi Saruwatari, Kiyohiro Shikano (NAIST), Kazunobu Kondo, Yu Takahashi (YAMAHA) EA2013-14 SIP2013-14 SP2013-14 |
This paper addresses a stereo signal separation problem and gives an experimental study on optimal divergence for superr... [more] | EA2013-14 SIP2013-14 SP2013-14 pp.79-84 |
|
| SIS | 2013-03-07 17:15 |
Shizuoka | Create Hamamatsu | [Invited Talk]
Introduction of Music Signal and Information Processing Technologies in Corporate Research and Development Center, Yamaha Corporataion Kazunobu Kondo (Yamaha) SIS2012-61 |
We introduce research and development of signal and information processing in Corporate Research \& Development Center,... [more] |
SIS2012-61 pp.85-90 |
| US, EA (Joint) |
2013-01-24 11:00 |
Kyoto | Kambaikan, Doshisha Univ. | Low-Distortion Structure of Music Signal Separation Combining Directional Clustering and Nonnegative Matrix Factorization Yusuke Iwao, Hiroshi Saruwatari, Noriyoshi Kamado, Kiyohiro Shikano (NAIST), Kazunobu Kondo, Yu Takahashi (Yamaha) EA2012-120 |
In this paper, we address a music signal separation problem with low-distortion structure method combining directional c... [more] | EA2012-120 pp.7-12 |
| US, EA (Joint) |
2013-01-24 11:20 |
Kyoto | Kambaikan, Doshisha Univ. | Signal separation for real instruments based on supervised NMF with basis deformation Daichi Kitamura, Hiroshi Saruwatari, Kiyohiro Shikano (NAIST), Kazunobu Kondo, Yu Takahashi (Yamaha) EA2012-121 |
Nonnegative Matrix Factorization (NMF) is one of the technique used for separation of an audio mixture that consists of ... [more] | EA2012-121 pp.13-18 |
| IBISML | 2012-11-07 15:30 |
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 pp.121-128 |
| EA | 2012-03-16 15:30 |
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 pp.43-48 |
| SP, NLC, IPSJ-SLP [detail] | 2011-12-19 15:45 |
Tokyo | Study on extraction of vocal part in music signal by using non-negative matrix algorithm Yuta Yasui, Hideki Banno, Fumitada Itakura (Meijo Univ) NLC2011-43 SP2011-88 |
This paper describes extraction methods of vocal signal in music signal which is a mixture of vocal signal and accompani... [more] | NLC2011-43 SP2011-88 pp.73-78 |
|
| EA | 2011-07-15 15:15 |
Osaka | Campus Port Osaka | Instrumental signal separation based on non-negative matrix factorization with target signal information Kosuke Yagi, Hiroshi Saruwatari, Kiyohiro Shikano (NAIST), Kazunobu Kondo, Yu Takahashi (YAMAHA) EA2011-46 |
In this paper, we address a separation of multiple instrumental sources based on supervised nonnegative matrix factoriza... [more] | EA2011-46 pp.21-26 |
| SP | 2011-01-27 15:45 |
Kyoto | NICT | Relation between musical noise generation in nonlinear signal processing and speech recognition performance Ryoichi Miyazaki, Takayuki Inoue, Nobuhisa Hirata, Hiroshi Saruwatari, Kiyohiro Shikano (NAIST), Tomoya Takatani (TOYOTA) SP2010-106 |
In this paper, we discuss a relation between musical noise generation in nonlinear signal processing and speech recogni... [more] |
SP2010-106 pp.19-24 |
| SANE | 2010-01-28 17:20 |
Nagasaki | Nagasaki Prefectural Art Museum | Super-resolution radar pulse compression algorithm based on ICA Yuta Hanashiro, Shouhei Kidera, Tetsuo Kirimoto (Univ. of Electro-Comm) SANE2009-147 |
The ICA(Independent Component Analysis) using the statistical independence of the multiple source signals offers a promi... [more] | SANE2009-147 pp.49-54 |
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