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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 1 - 20 of 58  /  [Next]  
Committee Date Time Place Paper Title / Authors Abstract Paper #
CAS, CS 2024-03-14
15:55
Okinawa   Residual Noise Removal in of Sound Source Separation Signal by Spectral Replacement
Taiga Saito, Kenji Suyama (Tokyo Denki Univ.) CAS2023-122 CS2023-115
Although sound source separation method based on a multiplication of multiple weighted sum circuits has high suppression... [more] CAS2023-122 CS2023-115
pp.64-69
SP, IPSJ-MUS, IPSJ-SLP [detail] 2023-06-24
13:50
Tokyo
(Primary: On-site, Secondary: Online)
Environmental Sound Separation Considering Separation Distortion and Remixing Error
Kanta Shimonishi, Takahiro Fukumori, Yoichi Yamashita (Ritsumeikan Univ.) SP2023-24
This report aims to improve the performance of environmental sound separation by considering not only the separated soun... [more] SP2023-24
pp.119-124
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
ICTSSL, CAS 2023-01-26
14:20
Tokyo TBD
(Primary: On-site, Secondary: Online)
Effects of Suppression Section Expansion in Actual Room Environment Sound Source Separation
Tsukasa Hidaka, Kenji Suyama (Tokyo Denki Univ.) CAS2022-71 ICTSSL2022-35
In actual room environments, it is easy to assume that the sound source signal arrives with any spatial propagation spre... [more] CAS2022-71 ICTSSL2022-35
pp.51-55
ICTSSL, CAS 2023-01-26
14:40
Tokyo TBD
(Primary: On-site, Secondary: Online)
Sound Source Separation Avoiding Sound Quality Degradation by Spatial Propagation
Kai Furusawa, Kenji Suyama (Tokyo Denki Univ.) CAS2022-72 ICTSSL2022-36
In general, the farther the distance between the microphone and the sound source, the greater the spatial propagation sp... [more] CAS2022-72 ICTSSL2022-36
pp.56-61
EA, EMM, ASJ-H 2022-11-21
10:00
Online Online [Poster Presentation] Sound signal mixing method using both source-separated and non-separated signals
Yuto Nishitani, Kota Takahashi (UEC) EA2022-48 EMM2022-48
We are researching a smart mixer, a device that performs better sound mixing than conventional sound mixers.
The smart ... [more]
EA2022-48 EMM2022-48
pp.40-45
NC, MBE
(Joint)
2021-03-04
09:25
Online Online An Estimated Intersections Reduction Method for Percussion Source Separation Based on the U-Net
Daisuke Tanaka, Susumu Kuroyanagi (NIT) NC2020-55
In the music information processing using drum information, the sound source separation is pre-processed to separate onl... [more] NC2020-55
pp.71-76
CAS, ICTSSL 2021-01-29
13:15
Online Online Three sound sources separation using complex weighted sum circuits with two microphones
Yoshiki Kikuchi, Kenji Suyama (Tokyo Denki) CAS2020-63 ICTSSL2020-48
A method using a complex weighted sum circuit has been proposed as a method for separating multiple sound sources.
The ... [more]
CAS2020-63 ICTSSL2020-48
pp.124-129
EA, ASJ-H 2020-07-20
13:25
Online Online Multichannel NMF using cluster analysis and weighted average
Tsuyoshi Yamamoto, Singo Uenohara, Kenichi Furuya (Oita Univ) EA2020-2
Herein, we propose a sound source separation method using multi-channel non-negative matrix factorization (MNMF). MNMF u... [more] EA2020-2
pp.7-12
NC, MBE
(Joint)
2020-03-05
14:40
Tokyo University of Electro Communications
(Cancelled but technical report was issued)
A method for sound source separation using the onset information based on the NMF with deformable bases
Shota Uchida, Susumu Kuroyanagi (NITech) NC2019-98
Currently, the NMF with deformable bases has been proposed as a model for learning the sequences of frequency spectrum f... [more] NC2019-98
pp.131-136
SP, EA, SIP 2020-03-02
13:00
Okinawa Okinawa Industry Support Center
(Cancelled but technical report was issued)
[Poster Presentation] Effective Sound Source Arrangement for Three Sound Source Localization Using Two Microphones
Yoshiki Kikuchi, Tomoyuki Ishiguro, Kenji Suyama (Tokyo Denki Univ.) EA2019-128 SIP2019-130 SP2019-77
The sequential updating histogram method is proposed as the multiple sound source localization method using two micropho... [more] EA2019-128 SIP2019-130 SP2019-77
pp.159-161
CQ, CBE
(Joint)
2020-01-17
14:00
Tokyo NHK Science & Technology Research Laboratories A study sound source separation method for recorded multiple sounds
Satoru Jomae, Kenko Ota, Hideaki Yoshino (NIT) CQ2019-131
It is useful to separate multiple sounds into single sounds in order to improve the accuracy of fundamental frequency an... [more] CQ2019-131
pp.137-140
CQ 2019-07-18
13:00
Niigata Niigata Univ. [Poster Presentation] A study of source separation method for non-negative matrix factorization using machine learning
Satoru Jomae, Kenko Ota, Hideaki Yoshino (NIT) CQ2019-48
We proposed a sound source separation method which consists of Non-negative matrix factorization and deep neural network... [more] CQ2019-48
pp.63-64
EA, SIP, SP 2019-03-14
13:30
Nagasaki i+Land nagasaki (Nagasaki-shi) [Poster Presentation] An Initialization Method for Multichannel Nonnegative Matrix Factorization using Nonnegative Independent Component Analysis
Takahiro Ushijima, Takanobu Uramoto, Shingo Uenohara, Ken'ichi Furuya (Oita Univ.) EA2018-105 SIP2018-111 SP2018-67
Recently, devices that handle voice have become widely used, and there is a demand for a technique to extract only the t... [more] EA2018-105 SIP2018-111 SP2018-67
pp.37-42
EA, ASJ-H, EMM, IPSJ-MUS [detail] 2018-11-21
13:30
Ishikawa Hotel Koshuen A Study on Sound Source Separation Using Spatio-temporal Sound Pressure Distribution Images and Machine Learning
Koichiro Shiozawa, Kenji Ozawa (Univ. Yamanashi), Tomohiko Ise (Alpine) EA2018-67 EMM2018-67
Sound source separation using a microphone array is effective in various situations such as sound source separation in a... [more] EA2018-67 EMM2018-67
pp.25-30
SIP, EA, SP, MI
(Joint) [detail]
2018-03-19
13:00
Okinawa   [Poster Presentation] Sound Source Separation Using Supervised NMF Based on One-dimensional Oblique Projections
Misaki Komatsu, Akira Tanaka (Hokkaido Univ.) EA2017-124 SIP2017-133 SP2017-107
In the conventional supervised NMF, mutual relationship between given
basis vectors is not considered appropriately, wh... [more]
EA2017-124 SIP2017-133 SP2017-107
pp.133-134
MBE, NC
(Joint)
2018-03-13
14:00
Tokyo Kikai-Shinko-Kaikan Bldg. A study of the histogram weighting for the real-time DUET method
Yoshiki Banno, Susumu Kuroyanagi (NIT) NC2017-74
In this paper, we discussed sound source separation method, as pre-processing of a danger perceive system. The method ha... [more] NC2017-74
pp.39-44
EA 2018-02-16
13:10
Hiroshima Pref. Univ. Hiroshima The effect of increasing the number of channels with multi-channel non-negative matrix factorization for noisy speech recognition
Takanobu Uramoto (Oita Univ.), Youhei Okato, Toshiyuki Hanazawa (Mitsubishi Electric), Iori Miura, Shingo Uenohara, Ken'ich Furuya (Oita Univ.) EA2017-99
Nonnegative Matrix Factorization (NMF) factorizes a non-negative matrix into two non-negative matrices. In the field of ... [more] EA2017-99
pp.33-38
EMM 2018-01-29
14:00
Miyagi Tohoku Univ. (Aobayama Campus) Study on restoration of a spatio-temporal sound pressure distribution image obtained with a microphone array
Kenji Ozawa, Masaaki Ito, Genya Shimizu, Eri Takizawa, Masanori Morise (Univ. Yamanashi), Shuichi Sakamoto (Tohoku Univ.) EMM2017-66
This project aims to achieve sound source separation by two-dimensional fast Fourier transform (2D-FFT) of a spatio-temp... [more] EMM2017-66
pp.1-6
US, EA
(Joint)
2018-01-23
13:00
Osaka   [Poster Presentation] Performance improvement of gridless sound field decomposition using signal separation based on convex optimization
Yuhta Takida, Shoichi Koyama, Natsuki Ueno, Hiroshi Saruwatari (The Univ. of Tokyo) EA2017-87
A sound field reconstruction method inside a region including sound sources is proposed. Previously, a method based on a... [more] EA2017-87
pp.19-24
 Results 1 - 20 of 58  /  [Next]  
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