IEICE Technical Committee Submission System
Conference Schedule
Online Proceedings
[Sign in]
Tech. Rep. Archives
    [Japanese] / [English] 
( Committee/Place/Topics  ) --Press->
 
( Paper Keywords:  /  Column:Title Auth. Affi. Abst. Keyword ) --Press->

All Technical Committee Conferences  (All Years)

Search Results: Conference Papers
 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 1 - 20 of 103  /  [Next]  
Committee Date Time Place Paper Title / Authors Abstract Paper #
ITE-ME, EMM, IE, LOIS, IEE-CMN, IPSJ-AVM [detail] 2021-08-25
13:25
Online Online Extraction of watermarks from video frames by using BSS
Akane Yokota, Masaki Kawamura (Yamaguchi Univ.) LOIS2021-17 IE2021-12 EMM2021-47
We propose a method for extracting watermarks additively
embedded in video frames by using blind source separation (BS... [more]
LOIS2021-17 IE2021-12 EMM2021-47
pp.7-12
SIP 2021-08-24
10:00
Online Online [Invited Talk] Audio source separation based on independent low-rank matrix analysis and its extensions
Daichi Kitamura (NIT Kagawa) SIP2021-32
Audio source separation is a technique for separating individual audio sources from an observed mixture signal. In parti... [more] SIP2021-32
pp.19-24
SIS, IPSJ-AVM 2021-06-24
14:15
Online Online [Tutorial Lecture] Noise Reduction using Nonnegative Matrix Factorization
Motoaki Mour (Aichi Univ.) SIS2021-9
Nonnegative matrix factorization (NMF) is a general term for methods that factorize a matrix into two or more matrices w... [more] SIS2021-9
pp.49-54
SP, IPSJ-SLP, IPSJ-MUS 2021-06-19
15:00
Online Online Source Separation for Asynchronous Recordings of Conversation Using Time-Frequency Masking and Independent Vector Analysis
Haruki Nammoku, Kouei Yamaoka, Yukoh Wakabayashi, Nobutaka Ono (TMU) SP2021-22
In this study, we investigate the source separation for conversational speech recorded by multiple voice recorders that ... [more] SP2021-22
pp.101-106
EMM 2020-03-05
14:25
Okinawa
(Cancelled but technical report was issued)
[Poster Presentation] Proposal of BSS-based video watermarking method using similarity between frames
Akane Yokota, Masaki Kawamura (Yamaguchi Univ.) EMM2019-105
Movies are composed of sequential still images, and similarity between consecutive frames is very high. 
In this work, w... [more] EMM2019-105
pp.19-24
SP, EA, SIP 2020-03-02
10:10
Okinawa Okinawa Industry Support Center
(Cancelled but technical report was issued)
Multichannel NMF with Joint-Diagonalizable Constraint Based on Generalized Gaussian Distribution for Blind Source Separation
Keigo Kamo, Yuki Kubo, Norihiro Takamune (UTokyo), Daichi Kitamura (NIT Kagawa), Hiroshi Saruwatari (UTokyo), Yu Takahashi, Kazunobu Kondo (Yamaha) EA2019-103 SIP2019-105 SP2019-52
Multichannel nonnegative matrix factorization (MNMF) is a blind source separation technique, which employs the full-rank... [more] EA2019-103 SIP2019-105 SP2019-52
pp.13-19
EA 2019-12-13
13:25
Fukuoka Kyushu Inst. Tech. Rank-constrained spatial covariance matrix estimation based on multivariate complex generalized Gaussian distribution and its acceleration for blind speech extraction
Yuki Kubo, Norihiro Takamune (UTokyo), Daichi Kitamura (NIT, Kagawa), Hiroshi Saruwatari (UTokyo) EA2019-78
In this paper, we generalize a generative model in rank-constrained spatial covariance matrix estimation that separates ... [more] EA2019-78
pp.85-92
EA, ASJ-H 2019-10-28
14:00
Tokyo NHK Science&Technology Research Lab. FastMNMF based on multivariant complex Student's t distribution for blind source separation
Keigo Kamo, Yuki Kubo, Norihiro Takamune (UTokyo), Daichi Kitamura (Kagawa NCIT), Hiroshi Saruwatari (UTokyo), Yu Takahashi, Kazunobu Kondo (Yamaha) EA2019-40
FastMNMF is a blind source separation technique, which is an accelerated algorithm of multichannel nonnegative matrix fa... [more] EA2019-40
pp.23-29
RCS 2019-10-25
16:05
Kanagawa Yokosuka Research Park [Encouragement Talk] Nonlinear Feature Extraction by epsilon -Vanishing Polynomial Networks Learning and Underdetermined BSS
Lu Wang, Tomoaki Ohtsuki (Keio Univ.) RCS2019-202
Similar to the deep architectures, a novel multi-layer architecture is used to extend the linear blind source separation... [more] RCS2019-202
pp.133-138
RCS 2019-04-19
10:55
Hokkaido Noboribetsu Grand Hotel Blind Source Separation in Nonlinear Mixture: Separation and a Multi-Subspace Representation
Lu Wang, Tomoaki Ohtsuki (Keio Univ.) RCS2019-16
The process deals with blind source separation in the nonlinear domain is to estimate the original signals or mixture fu... [more] RCS2019-16
pp.73-78
EA, SIP, SP 2019-03-14
10:25
Nagasaki i+Land nagasaki (Nagasaki-shi) Blind speech separation based on approximate joint diagonalization utilizing correlation between neighboring frequency bins
Taiki Asamizu, Toshihiro Furukawa (TUS) EA2018-100 SIP2018-106 SP2018-62
In this paper, we propose a new method that extends the approximate joint diagonalization blind speech separation (BSS).... [more] EA2018-100 SIP2018-106 SP2018-62
pp.7-12
EA, SIP, SP 2019-03-14
15:15
Nagasaki i+Land nagasaki (Nagasaki-shi) Convergence-guaranteed independent positive semidefinite tensor analysis for blind source separation
Kanta Fukushige, Norihiro Takamune (UTokyo), Daichi Kitamura (Kagawa-NICT), Hiroshi Saruwatari (UTokyo), Rintaro Ikeshita, Tomohiro Nakatani (NTT) EA2018-127 SIP2018-133 SP2018-89
This paper focuses on independent positive semidefinite tensor analysis (IPSDTA), which is a technique for over-determin... [more] EA2018-127 SIP2018-133 SP2018-89
pp.167-172
EA, SIP, SP 2019-03-14
15:40
Nagasaki i+Land nagasaki (Nagasaki-shi) Estimation of rank-constrained spatial covariance model based on multivariate complex Student's t distribution for blind source separation
Yuki Kubo, Norihiro Takamune (UTokyo), Daichi Kitamura (Kagawa NCIT), Hiroshi Saruwatari (UTokyo) EA2018-128 SIP2018-134 SP2018-90
In this paper, we generalize a generative model in estimation of rank-constrained spatial covariance model that separate... [more] EA2018-128 SIP2018-134 SP2018-90
pp.173-178
EA, SIP, SP 2019-03-15
11:25
Nagasaki i+Land nagasaki (Nagasaki-shi) [Invited Talk] Realization of real-time blind source separation with auxiliary-function-based algorithms
Nobutaka Ono (TMU) EA2018-133 SIP2018-139 SP2018-95
Blind source separation is a signal processing technique to estimate sound source signals only from the observation of m... [more] EA2018-133 SIP2018-139 SP2018-95
p.203
RCS, SR, SRW
(Joint)
2019-03-06
10:55
Kanagawa YRP Performance Analysis for Nonlinear Separation Model with a Flexible Approximation
Lu Wang, Tomoaki Ohtsuki (Keio Univ.) RCS2018-292
The process deals with blind source separation in the nonlinear domain is to estimate the original signals or mixture fu... [more] RCS2018-292
pp.61-66
NC, MBE
(Joint)
2019-03-05
11:10
Tokyo University of Electro Communications Unsupervised blind source separation using self conditioned entropy minimization
Yuan-chieh Ling, Toshitake Asabuki (UTokyo), Tomoki Fukai (RIKEN CBS) NC2018-67
Unsupervised blind source separation refers to extracting underlying source signals from mixed signals without additiona... [more] NC2018-67
pp.127-129
SIS, ITE-BCT 2018-10-25
10:00
Kyoto Kyoto University Clock Tower Centennial Hall Accuracy Analysis of Background Noise Estimation Using Outer Product Expansion with Lower Norm
Kouta Sugiura, Akitoshi Itai (Chubu Univ.) SIS2018-10
In this paper, the background noise estimation using outer product expansion is developed.
We have shown that a possib... [more]
SIS2018-10
pp.1-5
SIP, EA, SP, MI
(Joint) [detail]
2018-03-19
09:00
Okinawa   Adaptive BSS algorithm for approximate joint diagonalization with variable epoch length
Kei Nishiyama, Shinya Saito (TUS), Kunio Oishi (TUT), Toshihiro Furukawa (TUS) EA2017-102 SIP2017-111 SP2017-85
This paper presents an adaptive blind speech separation (BSS) technique for recovering original speech source signals fr... [more] EA2017-102 SIP2017-111 SP2017-85
pp.1-6
SIP, EA, SP, MI
(Joint) [detail]
2018-03-20
09:00
Okinawa   [Poster Presentation] Blind Source Separation Based on the Sparsity of Impulse Responses
Ryota Oda, Daichi Kitahara, Akira Hirabayashi (Ritsumeikan Univ.) EA2017-164 SIP2017-173 SP2017-147
We propose a blind source separation (BSS) algorithm using a priori information of the mixing process based on the state... [more] EA2017-164 SIP2017-173 SP2017-147
pp.341-346
EA, ASJ-H 2017-12-01
14:20
Overseas University of Auckland (New Zealand) [Invited Talk] Blind Audio Source Separation based on Independent Component Analysis
Shoji Makino (Univ. of Tsukuba) EA2017-78
This talk describes a method for the blind source separation (BSS) of convolutive mixtures of audio signals, especially ... [more] EA2017-78
p.107
 Results 1 - 20 of 103  /  [Next]  
Choose a download format for default settings. [NEW !!]
Text format pLaTeX format CSV format BibTeX format
Copyright and reproduction : All rights are reserved and no part of this publication may be reproduced or transmitted in any form or by any means, electronic or mechanical, including photocopy, recording, or any information storage and retrieval system, without permission in writing from the publisher. Notwithstanding, instructors are permitted to photocopy isolated articles for noncommercial classroom use without fee. (License No.: 10GA0019/12GB0052/13GB0056/17GB0034/18GB0034)


[Return to Top Page]

[Return to IEICE Web Page]


The Institute of Electronics, Information and Communication Engineers (IEICE), Japan