Committee |
Date Time |
Place |
Paper Title / Authors |
Abstract |
Paper # |
SP, IPSJ-MUS, IPSJ-SLP [detail] |
2022-06-17 15:00 |
Online |
Online |
Neural beamformer with automatic detection of notable sounds for acoustic scene classification Sota Ichikawa, Takeshi Yamada (Univ. of Tsukuba), Shoji Makino (Waseda Univ./Univ. of Tsukuba) SP2022-10 |
Recently, acoustic scene classification using a beamformer with multi-channel signals as input has been proposed. Genera... [more] |
SP2022-10 pp.35-40 |
SP, IPSJ-MUS, IPSJ-SLP [detail] |
2022-06-18 13:00 |
Online |
Online |
Anomalous sound detection using multi-class classifier and reconstructor of its intermediate layer output Keita Matsumoto, Takeshi Yamada (Univ. of Tsukuba), Shoji Makino (Waseda Univ./Univ. of Tsukuba) SP2022-18 |
In recent years, there has been a growing demand for techniques to detect unknown anomalous sounds by unsupervised learn... [more] |
SP2022-18 pp.77-81 |
EA |
2019-12-13 13:00 |
Fukuoka |
Kyushu Inst. Tech. |
Speaker-independent source separation with multichannel variational autoencoder Li Li (Univ. Tsukuba), Hirokazu Kameoka (NTT), Shota Inoue, Shoji Makino (Univ. Tsukuba) EA2019-77 |
The multichannel variational autoencoder method (MVAE) is a recently proposed determined source separation method, which... [more] |
EA2019-77 pp.79-84 |
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 |
SIP, EA, SP, MI (Joint) [detail] |
2018-03-20 09:00 |
Okinawa |
|
[Poster Presentation]
Multiple Far Noise Suppression for Meeting Scene with Various Devices Using Transfer-function-gain NMF Yutaro Matsui, Shoji Makino (Univ. of Tsukuba), Nobutaka Ono (Tokyo Metropolitan Univ.), Takeshi Yamada (Univ. of Tsukuba) EA2017-163 SIP2017-172 SP2017-146 |
In this paper, assuming the situation that multiple participants record a meeting with their different devices, we inves... [more] |
EA2017-163 SIP2017-172 SP2017-146 pp.335-340 |
EA, ASJ-H |
2017-12-01 14:20 |
Overseas |
University of Auckland (New Zealand) |
[Invited Talk]
Blind Audio Source Separation based on Independent Component Analysis Shoji Makino (Univ. of Tsukuba) EA2017-78 |
This talk describes a method for the blind source separation (BSS) of convolutive mixtures of audio signals, especially ... [more] |
EA2017-78 p.107 |
SP |
2016-08-24 16:15 |
Kyoto |
ACCMS, Kyoto Univ. |
[Poster Presentation]
Joint Enhancement of Spectral and Cepstral Sequences of Noisy Speech Li Li (Univ.Tsukuba), Hirokazu Kameoka, Takuya Higuchi (NTT), Hiroshi Saruwatari (Univ.Tokyo), Shoji Makino (Univ.Tsukuba) SP2016-32 |
While spectral domain speech enhancement algorithms using non-negative matrix factorization (NMF) are powerful in terms ... [more] |
SP2016-32 pp.29-32 |
SIP, EA, SP |
2015-03-02 10:15 |
Okinawa |
|
Estimating correlation coefficients of two super-Gaussian complex signals without phase observation Shigeki Miyabe (University of Tsukuba), Nobutaka Ono (NII/SOKENDAI), Shoji Makino (University of Tsukuba) EA2014-75 SIP2014-116 SP2014-138 |
[more] |
EA2014-75 SIP2014-116 SP2014-138 pp.19-24 |
MBE, NC (Joint) |
2013-03-15 14:35 |
Tokyo |
Tamagawa University |
Signal separation of EEG using multivariate probabilistic model Yusuke Kurihana, Shigeki Miyabe, Tomasz M. Rutkowski, Yoshihiro Matsumoto, Takeshi Yamada, Shoji Makino (Univ. of Tsukuba) MBE2012-119 |
With independent component analysis (ICA), one promising source separation framework, it is difficult to separate desire... [more] |
MBE2012-119 pp.161-166 |
EA |
2012-12-13 14:45 |
Tokyo |
National Institute of Informatics |
Blind compensation of sampling frequency mismatch for unsynchronized microphone array Shigeki Miyabe (U. Tsukuba), Nobutaka Ono (NII), Shoji Makino (U. Tsukuba) EA2012-111 |
[more] |
EA2012-111 pp.11-16 |
EA |
2012-12-13 15:20 |
Tokyo |
National Institute of Informatics |
Speech enhancement by asynchronous microphone array using the single source interval information Ryutaro Sakanashi (Univ. Tsukuba), Nobutaka Ono (NII), Shigeki Miyabe, Takeshi Yamada, Shoji Makino (Univ. Tsukuba) EA2012-112 |
[more] |
EA2012-112 pp.17-22 |
EA |
2012-06-08 11:00 |
Shizuoka |
Yamaha Co. |
Simulation of radial characteristic control with spherical speaker array Takaya Hayashi, Shigeki Miyabe, Takeshi Yamada, Shoji Makino (Tsukuba Univ.) EA2012-36 |
This paper describes control of distance attenuation using spherical loudspeaker array.
One research group proposed rad... [more] |
EA2012-36 pp.19-24 |
EA |
2012-06-08 14:05 |
Shizuoka |
Yamaha Co. |
Underdetermined DOA estimation by the non-linear MUSIC based on higher-order moment analysis Yuya Sugimoto, Shigeki Miyabe, Takeshi Yamada, Shoji Makino (Univ. Tsukuba) EA2012-41 |
This paper describes a new approach to extend MUltiple SIgnal Classification (MUSIC) to underdeter-mined direction-of-ar... [more] |
EA2012-41 pp.49-54 |
EA |
2012-06-08 15:10 |
Shizuoka |
Yamaha Co. |
Performance comparison of MMSE and sparse models in source separation using multichannel Wiener filter Ryutaro Sakanashi, Shigeki Miyabe, Takeshi Yamada, Shoji Makino (Univ. Tsukuba) EA2012-43 |
Multichannel Wiener filter proposed by Duong {\it et al}. can conduct underdetermined blind source separation (BSS) with... [more] |
EA2012-43 pp.61-66 |
EA |
2011-11-18 15:45 |
Kumamoto |
Kumamoto Univ. |
Underdetermined BSS in noisy environments with new analytical update rule for TDOA inference Takuro Maruyama (Tsukuba Univ), Shoko Araki, Tomohiro Nakatani (NTT), Shigeki Miyabe, Takeshi Yamada, Shoji Makino (Tsukuba Univ), Atsushi Nakamura (NTT) EA2011-86 |
[more] |
EA2011-86 pp.25-30 |
EA |
2010-08-09 15:15 |
Miyagi |
Tohoku Univ. |
Scattered Speech Signal Detection by Principal Component Analysis for Spatial Power Spectrum Michiaki Katoh, Yuya Sugimoto, Shoji Makino, Takeshi Yamada, Nobuhiko Kitawaki (Univ. of Tsukuba) EA2010-47 |
It is important for efficiently reviewing meeting speech archives to preliminarily and automatically detect "when, how a... [more] |
EA2010-47 pp.25-30 |
CQ (Workshop) |
2009-11-20 |
Tokyo |
NICT Headquarters |
[Poster Presentation]
Full-reference Objective Quality Evaluation for Noise-reduced Speech Using Overall Quality Estimation Model Yuki Shinohara, Takeshi Yamada, Nobuhiko Kitawaki, Shoji Makino (Univ. of Tsukuba) |
In this paper, we propose full-reference objective quality evaluation for noise-reduced speech using an overall quality ... [more] |
|
EA |
2008-07-18 14:45 |
Nara |
|
Speaker diarization for meetings by integrating speech presence probability estimation and time-frequency domain direction of arrival estimation Shoko Araki, Masakiyo Fujimoto, Kentaro Ishizuka, Tomohiro Nakatani, Hiroshi Sawada, Shoji Makino (NTT) EA2008-40 |
This paper presents a meeting diarization system that estimates who spoke when in a meeting. Our proposed system is real... [more] |
EA2008-40 pp.19-24 |
SIP, EA |
2008-05-29 16:50 |
Osaka |
Kansai Univ. |
[Fellow Memorial Lecture]
Blind Audio Source Separation based on Independent Component Analysis Shoji Makino (NTT) EA2008-17 SIP2008-26 |
This paper describes a state-of-the-art method for the blind source separation (BSS) of convolutive mixtures of audio si... [more] |
EA2008-17 SIP2008-26 pp.65-73 |