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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 1 - 8 of 8  /   
Committee Date Time Place Paper Title / Authors Abstract Paper #
EA, ASJ-H, ASJ-MA, ASJ-SP 2023-07-03
11:35
Hokkaido   Consideration on Sound Source Distance Measurement by Complex Sparse Bayesian Estimation Using a Small Microphone Array System
Senta Ariizumi, Teruki Toya, Kenji Ozawa (UoY) EA2023-17
In this study, we aim to measure the distance to a sound source by sparse Bayesian estimation using a small-scale microp... [more] EA2023-17
pp.72-77
CAS, CS 2023-03-02
15:40
Fukuoka Kitakyushu International Conference Center
(Primary: On-site, Secondary: Online)
Sound Quality Improvement of Source Separation Signal by Binary Mask
Taiga Saito, Kenji Suyama (Tokyo Denki Univ.) CAS2022-122 CS2022-99
A two-microphone source separation method using multiple complex weighted sum circuits (WSCs) has been proposed. However... [more] CAS2022-122 CS2022-99
pp.150-154
CAS, CS 2023-03-02
16:05
Fukuoka Kitakyushu International Conference Center
(Primary: On-site, Secondary: Online)
A Proposal of Group Delay Selection Method for Approximate Transfer System for Improving the Accuracy of Sound Source Localization
Tomoya Hori, Kenji Suyama (Tokyo Denki Univ.) CAS2022-123 CS2022-100
We have developed method for source localization using 2 microphones with high spatial resolution. In this method, TDOA ... [more] CAS2022-123 CS2022-100
pp.155-160
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, 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
SP, IPSJ-MUS 2014-05-24
11:30
Tokyo   [研究紹介] A spectrogram-patch-input DNN model for detection and classification of acoustic events robust to speech overlapping scenarios
Miquel Espi, Masakiyo Fujimoto, Yotaro Kubo, Tomohiro Nakatani (NTT) SP2014-17
This paper presents an acoustic event detection and classification method that learns features from spectrogram patches ... [more] SP2014-17
pp.171-176
SP, IPSJ-MUS 2014-05-24
11:30
Tokyo   Underdetermined Blind Separation of Moving Sources Based on Probabilistic Modeling
Takuya Higuchi, Norihiro Takamune, Tomohiko Nakamura (Univ. of Tokyo), Hirokazu Kameoka (Univ. of Tokyo/NTT) SP2014-20
This paper deals with the problem of the underdetermined blind separation and tracking of moving sources. In practical s... [more] SP2014-20
pp.211-216
IBISML 2014-03-07
11:10
Nara Nara Women's University Blind Separation of Sparse and Smooth Signals via Approximate Message Passing Algorithm
Shigeki Yokoyama, Toshiyuki Tanaka (Kyoto Univ.) IBISML2013-76
We consider the problem to recover source signals from noisy mixed ones. This can be described as a matrix reconstructio... [more] IBISML2013-76
pp.71-78
 Results 1 - 8 of 8  /   
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