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All Technical Committee Conferences (Searched in: All Years)
| Committee | Date Time | Place | Paper Title / Authors | Abstract | Paper # | |
| SIP, SP, EA, IPSJ-SLP [detail] | 2024-02-29 09:30 |
Okinawa | (Primary: On-site, Secondary: Online) |
Simultaneous Estimation of Transfer Coefficients and Signals of Sound-to-Light Conversion Device Blinky Under Saturation Using Non-negative Matrix Factorization Kosuke Nishida, Natsuki Ueno, Nobutaka Ono (TMU), Daichi Kitamura (Kagawa NCT)  EA2023-65 SIP2023-112 SP2023-47 |
In this study, we propose a method to estimate the intensity of optical signals emitted by sound-to-optical conversion d... [more] | EA2023-65 SIP2023-112 SP2023-47 pp.25-30 |
| SIP, SP, EA, IPSJ-SLP [detail] | 2024-02-29 10:30 |
Okinawa | (Primary: On-site, Secondary: Online) |
Accelerating and stabilizing vectorwise coordinate descent for spatially regularized independent low-rank matrix analysis Yuto Ishikawa, Takuya Okubo, Norihiro Takamune (UTokyo), Tomohiko Nakamura (AIST), Daichi Kitamura (NIT Kagawa), Hiroshi Saruwatari (UTokyo), Yu Takahashi, Kazunobu Kondo (Yamaha) EA2023-68 SIP2023-115 SP2023-50 |
Spatially regularized independent low-rank matrix analysis (SR-ILRMA) is the method that introduces the spatial prior in... [more] | EA2023-68 SIP2023-115 SP2023-50 pp.43-50 |
| EA, US (Joint) |
2023-12-22 13:00 |
Fukuoka | [Poster Presentation]
Multichannel Blind Source Separation Using Independent Low-Rank Matrix Analysis with Observed-Signal-Dependent Regularization Based on Spectrogram Consistency Takaaki Kojima, Norihiro Takamune, Sota Misawa (UTokyo), Daichi Kitamura (NIT,Kagawa), Hiroshi Saruwatari (UTokyo) EA2023-51 |
Independent low-rank matrix analysis (ILRMA) is the state-of-the-art technique for blind source separation under the ove... [more] | EA2023-51 pp.13-20 |
|
| IN, NS (Joint) |
2023-03-02 16:30 |
Okinawa | Okinawa Convention Centre + Online (Primary: On-site, Secondary: Online) |
Experimental evaluation of wireless control techniques suitable for applications requiring low latency and high throughput Daichi Kitamura, Wataru Hasegawa, Hidetaka Nishihara (NTT East), Yuuki Sakaue, Tatsuya Fukui (NTT) NS2022-209 |
Local 5G enables local companies and municipalities to flexibly build and maintain stable wireless access environments w... [more] | NS2022-209 pp.239-244 |
| SP, IPSJ-SLP, EA, SIP [detail] | 2023-03-01 09:50 |
Okinawa | (Primary: On-site, Secondary: Online) |
Regularization Term Design Based on Spectrogram Consistency in Independent Low-Rank Matrix Analysis for Multichannel Audio Source Separation Sota Misawa, Norihiro Takamune (UTokyo), Kohei Yatabe (TUAT), Daichi Kitamura (NIT, Kagawa), Hiroshi Saruwatari (UTokyo) EA2022-105 SIP2022-149 SP2022-69 |
It is known that block permutation occurs in the separated signals obtained by independent low-rank matrix analysis. Rec... [more] | EA2022-105 SIP2022-149 SP2022-69 pp.177-184 |
| SP, IPSJ-MUS, IPSJ-SLP [detail] | 2022-06-17 13:00 |
Online | Online | SP2022-6 |
Rank-constrained spatial covariance matrix estimation (RCSCME) is a method for blind speech extraction. In RCSCME, we de... [more] | SP2022-6 pp.18-23 |
| EA | 2022-05-13 16:50 |
Online | Online | Basic study for permutation solver based on deep neural networks Fumiya Hasuike, Rui Watanabe, Daichi Kitamura (NIT, Kagawa) EA2022-13 |
This paper focuses on a permutation problem associated with frequency-domain independent component analysis (FDICA) that... [more] | EA2022-13 pp.62-67 |
| 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 |
| 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 |
| AP, RCS (Joint) |
2019-11-21 14:50 |
Saga | Saga Univ. | [Invited Lecture]
Indoor Localization Improvement by Combining Wireless Beacon and Handset Sensor Information Kazushi Naruke, Naoki Honma, Daichi Kitamura (Iwate Univ.), Yusuke Sugawara, Atsushi Miura (ERi) AP2019-125 RCS2019-222 |
This paper proposes two methods for improving the accuracy of indoor localization, which combines RSSI (Received Signal ... [more] | AP2019-125 RCS2019-222 pp.101-106(AP), pp.109-114(RCS) |
| 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 |
| AP, SANE, SAT (Joint) |
2019-07-19 10:15 |
Miyagi | Tohoku Univ. | Experimental Evaluation of Indoor Localization Using RSSI-Based DOD and RSSI Ranging Daichi Kitamura, Naoki Honma, Kazushi Naruke, Kentaro Murata (Iwate Univ.), Yusuke Sugawara, Atsushi Miura (ERi) AP2019-41 |
In this report, we investigate the improvement of indoor localization accuracy using only Received Signal Strength Indic... [more] | AP2019-41 pp.107-112 |
| 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 |
| SIP, EA, SP, MI (Joint) [detail] |
2018-03-19 10:00 |
Okinawa | Experimental Evaluation of Multichannel Audio Source Separation Based on IDLMA Daichi Kitamura, Hayato Sumino, Norihiro Takamune, Shinnosuke Takamichi, Hiroshi Saruwatari (Univ. of Tokyo), Nobutaka Ono (Tokyo Metropolitan Univ.) EA2017-104 SIP2017-113 SP2017-87 |
In this paper, we propose a new informed multichannel audio source separation called independent deeply learned matrix a... [more] | EA2017-104 SIP2017-113 SP2017-87 pp.13-20 |
|
| IN | 2018-01-22 13:50 |
Aichi | WINC AICHI | Autonomous Distributed Calculation and Storage of Tie Strengths between Contents in Graph System Daichi Kitamura, Kunitake Kaneko (Keio University) IN2017-76 |
Graphs as relation between contents is used to calculate the tie strength between them and it is of- ten used for recomm... [more] | IN2017-76 pp.37-42 |
| EA, ASJ-H | 2017-10-22 09:00 |
Toyama | Ushidake-Onsen | [Invited Talk]
Blind source separation based on independent low-rank matrix analysis Daichi Kitamura (UT), Nobutaka Ono (NII), Hiroshi Sawada, Hirokazu Kameoka (NTT), Hiroshi Saruwatari (UT) EA2017-56 |
In this paper, we propose a new effective algorithm for blind source separation problem (BSS) called independent low-ran... [more] | EA2017-56 pp.73-80 |
| EA, ASJ-H | 2017-07-21 13:40 |
Hokkaido | Hokkaido Univ. | [Poster Presentation]
ILRMA with complex Student's t source model Shinichi Mogami, Daichi Kitamura, Norihiro Takamune, Yoshiki Mitsui, Hiroshi Saruwatari (Univ. of Tokyo), Nobutaka Ono (NII), Yu Takahashi, Kazunobu Kondo (Yamaha) EA2017-23 |
(To be available after the conference date) [more] | EA2017-23 pp.131-136 |
| EA, US (Joint) |
2017-01-25 13:00 |
Kyoto | Doshisha Univ. | [Poster Presentation]
Study on efficient solver for independent low-rank matrix analysis with sparse time-series-activity regularization Yoshiki Mitsui (Univ. Tokyo), Daichi Kitamura (SOKENDAI), Shinnosuke Takamichi (Univ. Tokyo), Nobutaka Ono (NII/SOKENDAI), Hiroshi Saruwatari (Univ. Tokyo) EA2016-72 |
In this paper, we propose a new blind source separation (BSS) method based on independent low-rank matrix analysis (ILRM... [more] | EA2016-72 pp.25-30 |
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