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All Technical Committee Conferences (Searched in: All Years)
| Committee | Date Time | Place | Paper Title / Authors | Abstract | Paper # | |
| 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 |
| 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 |
| IT, RCS, SIP | 2023-01-25 11:55 |
Gunma | Maebashi Terrsa (Primary: On-site, Secondary: Online) |
A Study on Evaluation of Non-Gaussianity in Two-Stage ICA-Aided Blind Signal Separation Taisuke Nogami, Shinsuke Ibi (Doshisha Univ.), Takumi Takahashi (Osaka Univ.), Hisato Iwai (Doshisha Univ.) IT2022-55 SIP2022-106 RCS2022-234 |
In the Internet of Things (IoT) communications, which will play an important role in the next-generation wireless commun... [more] | IT2022-55 SIP2022-106 RCS2022-234 pp.148-153 |
| SANE | 2023-01-20 13:50 |
Tokyo | (Primary: On-site, Secondary: Online) |
Analysis Results of LIDAR Observation for Aircraft Wake Vortices on Approach at Haneda Airport Naoki Fujii, Takayuki Yoshihara, Atsushi Senoguchi (ENRI) SANE2022-96 |
In response to increasing of worldwide aviation demand, it is required to expand the airport capacity of congested airpo... [more] | SANE2022-96 pp.40-45 |
| EA, US (Joint) |
2022-12-23 09:00 |
Hiroshima | Satellite Campus Hiroshima | Proposal of Speech Decomposition Algorithm by Cepstral-Basis-Decomposed Nonnegative Matrix Factorization and Application to Speech Source Separation Technique Fuga Oshima, Masashi Nakayama (Hiroshima City) EA2022-69 |
Nonnegative matrix factorization (NMF) is the algorithm that effectively represents acoustical signals by inputting ampl... [more] | EA2022-69 pp.49-54 |
| 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 |
| EA, ASJ-H | 2022-08-04 15:15 |
Miyagi | (Primary: On-site, Secondary: Online) |
[Invited Talk]
Audio Source Separation Combining Wavelet Transform and Deep Neural Network Tomohiko Nakamura (Univ. Tokyo) EA2022-32 |
Audio source separation is a technique of separating an observed audio signal into individual source signals. The use of... [more] | EA2022-32 p.25 |
| SP, IPSJ-MUS, IPSJ-SLP [detail] | 2022-06-17 15:00 |
Online | Online | Blind Source Separation based on Independent Low-Rank Matrix Analysis using Restricted Boltzmann Machines Shotaro Furuta, Takuya Kishida, Toru Nakashika (UEC) SP2022-8 |
In this paper, we propose a new blind source separation method that combines independent low-rank source separation (ILR... [more] | SP2022-8 pp.26-29 |
| SP, IPSJ-MUS, IPSJ-SLP [detail] | 2022-06-18 15:00 |
Online | Online | Unsupervised Training of Sequential Neural Beamformer Using Blindly-separated and Non-separated Signals Kohei Saijo, Tetsuji Ogawa (Waseda Univ.) SP2022-25 |
We present an unsupervised training method of the sequential neural beamformer (Seq-NBF) using the separated signals fro... [more] | SP2022-25 pp.110-115 |
| AP | 2022-06-16 13:25 |
Tokyo | Kikai-Shinko-Kaikan Bldg. (Primary: On-site, Secondary: Online) |
Flux Separation Method for Highly Accurate Antenna Gain Prediction Nozomu Kogiso (Osaka Metro. Univ.), Yuki Suzuki, Seiya Matsushita (Osaka Pref. Univ.), Hiroaki Tanaka (NDA) AP2022-30 |
This research proposes a flux separation method for antenna gain analysis to achieve both high approximation accuracy an... [more] | AP2022-30 pp.7-12 |
| EA | 2022-05-13 13:10 |
Online | Online | Fast Blind Source Separation in Noisy Reverberant Environments Using Independent Vector Extraction Rintaro Ikeshita, Tomohiro Nakatani (NTT) EA2022-5 |
Blind source separation (BSS) is a technique of separating and extracting individual source signals only from their mixt... [more] | EA2022-5 pp.20-25 |
| 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 |
| NLP, MICT, MBE, NC (Joint) [detail] |
2022-01-23 10:55 |
Online | Online | Fetal Heart Rate Detection via Maternal ECG Cancellation by Neural-Network Autoencoder Abuzar Ahmad Qureshi, Lu Wang, Tomoaki Ohtsuki (Keio Univ.), Kazunari Owada, Hayato Hayashi (Atom Medical Co.) NLP2021-123 MICT2021-98 MBE2021-84 |
Fetal heart rate (HR) monitoring is necessary for accessing the state of the fetus during pregnancy and labor. Non-invas... [more] | NLP2021-123 MICT2021-98 MBE2021-84 pp.243-247 |
| RCS, SIP, IT | 2022-01-21 11:45 |
Online | Online | Simultaneous matrix diagonalization using alternating least-squares algorithm Shinya Saito, Kunio Oishi (Tokyo University of Tech.) IT2021-73 SIP2021-81 RCS2021-241 |
This paper presents an approach for overdetermined blind source separation (BSS) using AJD. The approach is constructed ... [more] | IT2021-73 SIP2021-81 RCS2021-241 pp.252-257 |
| IN, IA (Joint) |
2021-12-17 12:55 |
Hiroshima | Higashi-Senda campus, Hiroshima Univ. (Primary: On-site, Secondary: Online) |
[Short Paper]
Study on the Separability of Aggregated Multilayer Networks Rong Wang, Yuki Wakisaka, Ryotaro Matsuo, Hiroyuki Ohsaki (Kwansei Gakuin Univ.) IA2021-42 |
Many real networks consist of heterogeneous networks with different properties, and these heterogeneous networks interac... [more] | IA2021-42 pp.60-62 |
| ITE-ME, EMM, IE, LOIS, IEE-CMN, IPSJ-AVM [detail] | 2021-08-25 13:25 |
Online | Online | Extraction of watermarks from video frames by using BSS Akane Yokota, Masaki Kawamura (Yamaguchi Univ.) LOIS2021-17 IE2021-12 EMM2021-47 |
We propose a method for extracting watermarks additively embedded in video frames by using blind source separation (BS... [more] |
LOIS2021-17 IE2021-12 EMM2021-47 pp.7-12 |
| 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 |
| SIS, IPSJ-AVM | 2021-06-24 14:15 |
Online | Online | [Tutorial Lecture]
Noise Reduction using Nonnegative Matrix Factorization Motoaki Mour (Aichi Univ.) SIS2021-9 |
Nonnegative matrix factorization (NMF) is a general term for methods that factorize a matrix into two or more matrices w... [more] | SIS2021-9 pp.49-54 |
| SP, IPSJ-SLP, IPSJ-MUS | 2021-06-19 15:00 |
Online | Online | Source Separation for Asynchronous Recordings of Conversation Using Time-Frequency Masking and Independent Vector Analysis Haruki Nammoku, Kouei Yamaoka, Yukoh Wakabayashi, Nobutaka Ono (TMU) SP2021-22 |
In this study, we investigate the source separation for conversational speech recorded by multiple voice recorders that ... [more] | SP2021-22 pp.101-106 |
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