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 |
MI |
2021-03-16 15:00 |
Online |
Online |
Automatic Classification of Respiratory Sounds using HPSS Yuki Marubashi, Tohru Kamiya (KIT), Shingo Mabu (YU), Shoji Kido (OU) MI2020-77 |
In this paper, we propose a new automatic classification method of respiratory sounds to support the diagnosis of respir... [more] |
MI2020-77 pp.128-133 |
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 |