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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
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Committee Date Time Place Paper Title / Authors Abstract Paper #
IBISML 2022-12-23
11:10
Kyoto Kyoto University
(Primary: On-site, Secondary: Online)
Enhancement of Audio Signals Using Learning from Positive and Unlabelled Data
Nobutaka Ito, Masashi Sugiyama (UTokyo) IBISML2022-56
Audio signal enhancement (SE) is the task of extracting a desired class of sounds (a “signal”) from an observed sound mi... [more] IBISML2022-56
pp.94-100
OME 2022-02-19
12:00
Oita Horuto Hall Oita
(Primary: On-site, Secondary: Online)
Application of nanotechnology for next generation of virus sensing
Kenshin Takemura (AIST) OME2021-65
Following the SAES-CoV2 pandemic, the need for viral reagents has increased dramatically. In particular, PCR-based detec... [more] OME2021-65
pp.34-37
RCS, SR, SRW
(Joint)
2020-03-05
17:35
Tokyo Tokyo Institute of Technology
(Cancelled but technical report was issued)
[Special Invited Talk] Research on Wireless Circuit and Signal Processing
Yasushi Yamao (UEC) RCS2019-364 SR2019-129 SRW2019-69
Continuing growth of mobile communications does not stop and is going beyond 5G to 6G. Wireless technologies cast light ... [more] RCS2019-364 SR2019-129 SRW2019-69
p.225(RCS), p.95(SR), p.49(SRW)
SP, EA, SIP 2020-03-03
09:00
Okinawa Okinawa Industry Support Center
(Cancelled but technical report was issued)
Semi-supervised Self-produced Speech Enhancement and Suppression Based on Joint Source Modeling of Air- and Body-conducted Signals Using Variational Autoencoder
Shogo Seki, Moe Takada, Kazuya Takeda, Tomoki Toda (Nagoya Univ.) EA2019-140 SIP2019-142 SP2019-89
This paper proposes a semi-supervised method for enhancing and suppressing self-produced speech, using a variational aut... [more] EA2019-140 SIP2019-142 SP2019-89
pp.225-230
EA, SIP, SP 2019-03-14
13:30
Nagasaki i+Land nagasaki (Nagasaki-shi) [Poster Presentation] MVDR beamformer based on time-frequency-bin-wise switching technique for underdetermined speech enhancement
Kouei Yamaoka (Univ. of Tsukuba), Nobutaka Ono (Tokyo Metropolitan Univ.), Shoji Makino, Takeshi Yamada (Univ. of Tsukuba) EA2018-124 SIP2018-130 SP2018-86
In this paper, we present an underdetermined speech enhancement method called the time-frequency-bin-wise switching beam... [more] EA2018-124 SIP2018-130 SP2018-86
pp.149-154
RCS, SIP, IT 2019-01-31
15:15
Osaka Osaka University [Invited Talk] Security Enhancement Approaches to Wireless Communications by Secret Sharing and Signal Processing in Physical Layer
Shoichiro Yamasaki, Tomoko K. Matsushima (PTU) IT2018-50 SIP2018-80 RCS2018-257
(k, n) - threshold based secret sharing protects information securely.
The information is divided into n shares,
an... [more]
IT2018-50 SIP2018-80 RCS2018-257
pp.85-90
EA 2018-12-13
14:55
Fukuoka kyushu Univ. Applause Detection in a viewing site for Ambient Transmission in Live Viewing System
Moe Nishikawa, Kazuhiko Kawahara (Kyushu Univ.), Yutaka Kamamoto, Takashi Sato (NTT), Kazuhiro Ouchi, Akira Omoto (Kyushu Univ.), Takehiro Moriya (NTT) EA2018-85
"APRICOT: APplause for Realistic-Immersive Contents Transmission" system has been proposed by the authors. The system ca... [more] EA2018-85
pp.27-32
MWP 2018-11-26
16:25
Tokyo Kikai-Shinko-Kaikan Bldg. Application of MUSIC method to multicarrier optical FM-CW radar system based on optical-modulator-based optical frequency comb
Shintaro Otani, Kousuke Kamikawa (Aoyama Gakuin Univ.), Atsushi Kanno, Naokatsu Yamamoto (NICT), Hideyuki Sotobayashi (Aoyama Gakuin Univ.) MWP2018-48
We evaluated an optical multicarrier frequency-modulated-continuous-wave(FM-CW) radar system using an optical frequency ... [more] MWP2018-48
pp.23-26
EA, ASJ-H 2018-08-23
12:55
Miyagi Tohoku Gakuin Univ. Self-produced speech enhancement and suppression method with wearable air- and body-conductive microphones
Moe Takada, Shogo Seki, Tomoki Toda (Nagoya Univ.) EA2018-29
This paper presents a self-produced speech enhancement and suppression method for multichannel signals recorded with bot... [more] EA2018-29
pp.7-12
CAS, SIP, MSS, VLD 2018-06-14
10:25
Hokkaido Hokkaido Univ. (Frontier Research in Applied Sciences Build.) [Special Invited Talk] What is a neaural network -- IEEE Distinguished Lecture --
Bhiksha Raj (CMU)
After having conquered the world of pattern recognition, neural networks have turned their attention to signal processin... [more]
CS, IE, IPSJ-AVM, ITE-BCT [detail] 2017-12-01
13:10
Aichi Nagoya University [Special Invited Talk] Next Generation of Information Retrieval for Value Creation from Big Data -- Introduction of AI and IoT Technologies into Associative Search --
Miki Haseyama (Hokkaido Univ.) CS2017-77 IE2017-92
The authors have conducted studies for constructing novel information retrieval technologies for value creation from big... [more] CS2017-77 IE2017-92
pp.101-106
NS 2017-10-26
13:25
Osaka I-site nanba [Invited Lecture] Spectral Efficiency Enhancement Using Distance and Hop Count Adaptive Subcarrier-Multiplexed Signals in Photonic Networks
Yuma Isono, Yojiro Mori, Hiroshi Hasegawa, Ken-ichi Sato (Nagoya Univ.) NS2017-93
Spectral efficiency of photonic networks should be improved in order to cope with the ever-increasing Internet traffic. ... [more] NS2017-93
pp.25-28
SIS 2017-06-02
11:10
Oita Housen-Sou (Beppu) Transient noise reduction using linear prediction and noise activity detection based on high order statistics
Yuto Yoneyama, Naoto Sasaoka, Yoshio Itoh (Tottori Univ.) SIS2017-15
We proposed a noise reduction method for a wideband component in transient noise superposed on speech. This method reduc... [more] SIS2017-15
pp.77-82
EA, EMM 2016-11-18
14:05
Oita Compal Hall (Oita) Basic Study of the Sound Quality Improvement using the Signal Enhancement of the Sound from inside of the Body
Masatoshi Tsukiashi, Yoichi Midorikawa, Masanori Akita (Oita Univ.) EA2016-64 EMM2016-70
We have studied the detection of sleepiness or the detection of the change of feelings using NAM microphones. NAM microp... [more] EA2016-64 EMM2016-70
pp.95-100
EA, ASJ-H 2016-08-09
14:00
Miyagi Tohoku Gakuin Univ., Tagajo Campus Phase reconstruction based on time-frequency domain harmonic structure for speech enhancement
Yukoh Wakabayashi, Takahiro Fukumori, Masato Nakayama, Takanobu Nishiura, Yoichi Yamashita (Ritsumeikan Univ.) EA2016-22
Conventional speech enhancement in noisy environment is widely studied by modifying only an amplitude spectrum of a spee... [more] EA2016-22
pp.13-18
WIT, SP, ASJ-H, PRMU 2015-06-18
14:25
Niigata   Non-Audible Murmur Enhancement Method using Air- and Body-Conductive Microphones in Noisy Environments and its Evaluation
Yusuke Tajiri, Kou Tanaka, Tomoki Toda, Graham Neubig, Sakriani Sakti, Satoshi Nakamura (NAIST) PRMU2015-42 SP2015-11 WIT2015-11
As one of the silent speech interfaces, Non-Audible Murmur (NAM) microphone which can detect an extremely soft whispered... [more] PRMU2015-42 SP2015-11 WIT2015-11
pp.59-64
OCS, OPE, LQE 2014-10-30
14:30
Nagasaki Nagasaki Museum of History and Culture All-optical memory by buried-heterostructure high-QL3 photonic crystal nanocavity -- Buried-heterostructure L3 nanocavity all-optical memory operated at2.3 nW bias power --
Eiichi Kuramochi, Kengo Nozaki, Akihiko Shinya, Hideaki Taniyama, Koji Takeda, Tomonari Sato, Shinji Matsuo, Masaya Notomi (NTT) OCS2014-61 OPE2014-105 LQE2014-79
Photonic crystal is a platform technology for ultra-compact and ultra-low-power all-optical memory. Here we report a pho... [more] OCS2014-61 OPE2014-105 LQE2014-79
pp.101-105
AP, SANE
(Joint)
2014-08-29
13:40
Niigata Niigata University Satellite campus [Invited Lecture] DOA Estimation Applying Compressed Sensing Techniques
Toshihiko Nishimura, Taiki Endo, Yasutaka Ogawa, Takeo Ohgane (Hokkaido Univ.) AP2014-86 SANE2014-59
It has been proposed to apply compressed sensing methods to problems estimating the direction of arrival angles of radio... [more] AP2014-86 SANE2014-59
pp.79-84(AP), pp.65-70(SANE)
RCS 2013-10-17
09:30
Tokyo Sophia Univ. Suboptimal MIMO Signal Detection Employing Multi-Stream Constrained Search -- Principle of Multi-Stream Constrained Search --
Katsuya Kato (Sharp), Kazuhiko Fukawa (Tokyo Inst. of Tech.), Ryota Yamada (Sharp), Hiroshi Suzuki (Tokyo Inst. of Tech.), Naoki Okamoto (Sharp) RCS2013-142
The maximum likelihood detection (MLD) is the optimal signal detection for MIMO communications, but its computational co... [more] RCS2013-142
pp.1-6
SP 2013-01-30
15:45
Kyoto Doshisha Univ. A Study on Speaker Recognition Based on Decomposition of Periodic and Aperiodic Components
Yuki Ishikawa, Masafumi Nishida (Doshisha Univ.), Masakiyo Fujimoto (NTT), Seiichi Yamamoto (Doshisha Univ.) SP2012-102
In conventional researches, mel-frequency cepstral coefficients (MFCC) are widely used for a feature parameter which app... [more] SP2012-102
pp.25-30
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