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 |