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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 1 - 20 of 113  /  [Next]  
Committee Date Time Place Paper Title / Authors Abstract Paper #
EA 2024-05-22
13:50
Online Online Determined BSS based on the proximal average of IVA and DNNs
Kazuki Matsumoto (Waseda Univ.), Koki Yamada, Kohei Yatabe (TUAT)
(To be available after the conference date) [more]
EMM 2024-03-03
10:00
Overseas Day1:JEJU TECHNOPARK, Day2:JEJU Business Agency [Poster Presentation] Proposal of additive video watermarking method with distributed watermark embedding -- Performance comparison between extraction methods using BSS and frame-to-frame difference --
Nao Harada, Rinka Kawano, Masaki Kawamura (Yamaguchi Univ.) EMM2023-95
To improve the quality of stego-video, it is necessary to reduce the amount of watermark embedded in a frame. We propose... [more] EMM2023-95
pp.34-39
SIP, SP, EA, IPSJ-SLP [detail] 2024-02-29
09:50
Okinawa
(Primary: On-site, Secondary: Online)
Derivation of Direct Update Rule for Back-Projected Separation Matrix
Yui Kuriki, Taishi Nakashima, Nobutaka Ono (TMU) EA2023-66 SIP2023-113 SP2023-48
Blind source separation (BSS) is a widely used technique for separating mixed signals originating from multiple sources.... [more] EA2023-66 SIP2023-113 SP2023-48
pp.31-36
SIP, SP, EA, IPSJ-SLP [detail] 2024-02-29
10:10
Okinawa
(Primary: On-site, Secondary: Online)
Analysis of Overlapped Utterances in Everyday Conversation and Source Separation by Online Independent Vector Analysis for Asynchronous Distributed Recordings
Haruki Nammoku, Taishi Nakashima, Kouei Yamaoka, Yukoh Wakabayashi, Nobutaka Ono (TMU) EA2023-67 SIP2023-114 SP2023-49
In this study, we investigate the effects of overlapped utterances on transcription in everyday conversation and propose... [more] EA2023-67 SIP2023-114 SP2023-49
pp.37-42
EA, US
(Joint)
2023-12-22
13:00
Fukuoka   [Poster Presentation] Multichannel Blind Source Separation Using Independent Low-Rank Matrix Analysis with Observed-Signal-Dependent Regularization Based on Spectrogram Consistency
Takaaki Kojima, Norihiro Takamune, Sota Misawa (UTokyo), Daichi Kitamura (NIT,Kagawa), Hiroshi Saruwatari (UTokyo) EA2023-51
Independent low-rank matrix analysis (ILRMA) is the state-of-the-art technique for blind source separation under the ove... [more] EA2023-51
pp.13-20
MIKA
(3rd)
2023-10-10
15:35
Okinawa Okinawa Jichikaikan
(Primary: On-site, Secondary: Online)
[Poster Presentation] A Consideration of Data Smoothing and Weight Orthogonalization in Blind Signal Separation Using Kurtosis Maximization Algorithm
Shogo Osakabe, Nobuyoshi Kikuma, Kunio Sakakibara, Yoshiki Sugimoto (NITech)
With the recent rapid evolution in wireless communications, the demand for high-quality, low-latency transmission and th... [more]
EMM 2023-03-02
14:30
Nagasaki Fukue culture hall
(Primary: On-site, Secondary: Online)
[Poster Presentation] Watermark Extraction Method Using BSS -- Improving Image Quality Using Inter-frame Difference --
Nao Harada, Rinka Kawano, Masaki Kawamura (Yamaguchi Univ.) EMM2022-80
To improve the quality of stego-videos, we consider embedding method of watermarks in blocks where the differences betwe... [more] EMM2022-80
pp.66-71
SIS 2023-03-02
11:00
Chiba Chiba Institute of Technology
(Primary: On-site, Secondary: Online)
Blink detection from one-dimensional face signal by using convolutional sparse dictionary learning
Souichiro Maruyama, Makoto Nakashizuka (CIT) SIS2022-40
In this report, a blink detection method from average intensities of whole facial videos using convolutional dictionary... [more] SIS2022-40
pp.1-4
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
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
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
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
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
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
EMM 2020-03-05
14:25
Okinawa
(Cancelled but technical report was issued)
[Poster Presentation] Proposal of BSS-based video watermarking method using similarity between frames
Akane Yokota, Masaki Kawamura (Yamaguchi Univ.) EMM2019-105
Movies are composed of sequential still images, and similarity between consecutive frames is very high. 
In this work, w... [more] EMM2019-105
pp.19-24
 Results 1 - 20 of 113  /  [Next]  
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