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All Technical Committee Conferences  (Searched in: Recent 10 Years)

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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 1 - 10 of 10  /   
Committee Date Time Place Paper Title / Authors Abstract Paper #
EA, SIP, SP, IPSJ-SLP [detail] 2025-03-03
12:20
Okinawa   Memory-efficient and low-computational hierarchical musical instruments classification using element selection
Ryu Kato (Tokyo Metropolitan Univ.), Natsuki Ueno (Kumamoto Univ./), Nobutaka Ono (Tokyo Metropolitan Univ.), Ryo Matsuda, Kazunobu Kondo, Yu Takahashi (Yamaha Corp.) EA2024-111 SIP2024-146 SP2024-52
We focus on a hierarchical classification approach for musical instruments classification using machine learning to redu... [more] EA2024-111 SIP2024-146 SP2024-52
pp.215-220
EA, US
(Joint)
2024-12-20
13:45
Oita OITAUniv [Poster Presentation] Investigation of Projection Back in Spatially Regularized Independent Low-Rank Matrix Analysis Using Simultaneous Steering Vector Estimation
Sota Hirata, Norihiro Takamune, Kouei Yamaoka (The University of Tokyo), Daichi Kitamura (NIT, Kagawa), Hiroshi Saruwatari (The University of Tokyo), Yu Takahashi, Kazunobu Kondo (Yamaha Corp.) EA2024-68
Blind source separation (BSS) is a technique to separate each source signal from observed mixtures without any prior inf... [more] EA2024-68
pp.26-33
EA, ASJ-H, ASJ-MA, ASJ-SP 2024-07-07
09:25
Hokkaido   Effect of changes in head shape due to voxelization resolution on horizontal-plane and median-plane HRTFs calculated by FDTD method
Shunta Kanematsu, Parham Mokhtari, Daisuke Morikawa (Toyama Prefectural Univ.), Noriyuki Ohashi, Kazunobu Kondo (YAMAHA), Satoshi Okazaki (Toyama Prefectural Univ.) EA2024-22
(To be available after the conference date) [more] EA2024-22
pp.67-72
SIP, SP, EA, IPSJ-SLP [detail] 2024-02-29
10:30
Okinawa
(Primary: On-site, Secondary: Online)
Accelerating and stabilizing vectorwise coordinate descent for spatially regularized independent low-rank matrix analysis
Yuto Ishikawa, Takuya Okubo, Norihiro Takamune (UTokyo), Tomohiko Nakamura (AIST), Daichi Kitamura (NIT Kagawa), Hiroshi Saruwatari (UTokyo), Yu Takahashi, Kazunobu Kondo (Yamaha) EA2023-68 SIP2023-115 SP2023-50
Spatially regularized independent low-rank matrix analysis (SR-ILRMA) is the method that introduces the spatial prior in... [more] EA2023-68 SIP2023-115 SP2023-50
pp.43-50
EMM, EA, ASJ-H 2023-11-23
13:00
Toyama   [Poster Presentation] A Study of Complexity Reduction for Classification of Musical Instruments Using Element Selection
Ryu Kato, Natsuki Ueno, Nobutaka Ono (Tokyo Metropolitan Univ.), Ryo Matsuda, Kazunobu Kondo (Yamaha Corp.) EA2023-37 EMM2023-68
In this study, we propose complexity reduction in convolutional-neural-network (CNN)-based music instruments classificat... [more] EA2023-37 EMM2023-68
pp.51-56
SP, EA, SIP 2020-03-02
10:10
Okinawa Okinawa Industry Support Center
(Cancelled but technical report was issued)
Multichannel NMF with Joint-Diagonalizable Constraint Based on Generalized Gaussian Distribution for Blind Source Separation
Keigo Kamo, Yuki Kubo, Norihiro Takamune (UTokyo), Daichi Kitamura (NIT Kagawa), Hiroshi Saruwatari (UTokyo), Yu Takahashi, Kazunobu Kondo (Yamaha) EA2019-103 SIP2019-105 SP2019-52
Multichannel nonnegative matrix factorization (MNMF) is a blind source separation technique, which employs the full-rank... [more] EA2019-103 SIP2019-105 SP2019-52
pp.13-19
EA, ASJ-H 2019-10-28
14:00
Tokyo NHK Science&Technology Research Lab. FastMNMF based on multivariant complex Student's t distribution for blind source separation
Keigo Kamo, Yuki Kubo, Norihiro Takamune (UTokyo), Daichi Kitamura (Kagawa NCIT), Hiroshi Saruwatari (UTokyo), Yu Takahashi, Kazunobu Kondo (Yamaha) EA2019-40
FastMNMF is a blind source separation technique, which is an accelerated algorithm of multichannel nonnegative matrix fa... [more] EA2019-40
pp.23-29
EA, ASJ-H 2017-07-21
13:40
Hokkaido Hokkaido Univ. [Poster Presentation] ILRMA with complex Student's t source model
Shinichi Mogami, Daichi Kitamura, Norihiro Takamune, Yoshiki Mitsui, Hiroshi Saruwatari (Univ. of Tokyo), Nobutaka Ono (NII), Yu Takahashi, Kazunobu Kondo (Yamaha) EA2017-23
(To be available after the conference date) [more] EA2017-23
pp.131-136
EA, SP, SIP 2016-03-29
13:15
Oita Beppu International Convention Center B-ConPlaza Effective basis learning for sound source separation by semi-supervised nonnegative matrix factorization
Daichi Kitamura (SOKENDAI), Nobutaka Ono (NII/SOKENDAI), Hiroshi Saruwatari (UT), Yu Takahashi, Kazunobu Kondo (Yamaha) EA2015-130 SIP2015-179 SP2015-158
This paper addresses a sound source separation problem and proposes an effective basis learning method for semi-supervis... [more] EA2015-130 SIP2015-179 SP2015-158
pp.355-360
EA 2015-12-11
15:15
Ishikawa Kanazawa Univ., Satellite Plaza [Poster Presentation] Analysis on Degree of Freedom for Supervised NMF with All-Pole-Model-Based Basis Deformation
Hiroaki Nakajima (UTokyo), Daichi Kitamura (SOKENDAI), Norihiro Takamune, Shoichi Koyama, Hiroshi Saruwatari (UTokyo), Nobutaka Ono (NII/SOKENDAI), Yu Takahashi, Kazunobu Kondo (Yamaha) EA2015-42
Conventional supervised NMF has the critical problem that a mismatch between the bases trained in advance and the target... [more] EA2015-42
pp.13-18
 Results 1 - 10 of 10  /   
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