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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 1 - 20 of 36  /  [Next]  
Committee Date Time Place Paper Title / Authors Abstract Paper #
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
(To be available after the conference date) [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, IPSJ-MUS, IPSJ-SLP 2020-06-06
18:00
Online Online [Invited Talk] Research and Applications of Music AI Technology in Yamaha
Akira Maezawa, Kouhei Sumi, Kazuhiko Yamamoto (Yamaha) SP2020-3
A satisfactory experience at playing a musical instrument depends on (1) having a music score and (2) appropriate music ... [more] SP2020-3
p.5
SP, IPSJ-MUS, IPSJ-SLP 2020-06-06
18:35
Online Online [Invited Talk] Singing Synthesis in "Bringing Hibari Misora Back with AI"
Ryunosuke Daido, Keijiro Saino (Yamaha Corp.) SP2020-4
 [more] SP2020-4
p.7
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, ASJ-AA 2019-07-17
09:55
Hokkaido SAPPORO COMMUNITY PLAZA Comparing training effects associated with two sets of HRTF data on auditory localization performance
Sungyoung Kim (RIT), Song Hui Chon (Belmont Univ.), Hiraku Okumura (Yamaha), Shuichi Sakamoto (Tohoku Univ.) EA2019-11
 [more] EA2019-11
pp.51-56
EMCJ 2019-01-18
10:50
Osaka Osaka University Results of EMC round robin test on emission and immunity test. -- (3) Conducted immunity round robin test --
Yoshitsugu Okuda (KEC Electronic Industry Development Center), Yasushi Asaji (Murata Manufacturing), Takashi Usui (YAMAHA), Mikio Okumura (OMRON), Kazuhiro Kobayashi (IPS), Hiroyoshi Shida (Tokin EMC Engineering), Hisashi Ninomiya (Roland), Mitsuyoshi Maishima (Hamamatsu Photonics), Osami Wada (Kyoto Univ) EMCJ2018-100
 [more] EMCJ2018-100
pp.1-5
EA, ASJ-H, ASJ-AA 2018-07-25
09:25
Hokkaido Hokkaido Univ. Investigation of the sweet spot of sound field reproduction using inverse filtering.
Hikaru Okumura (Kyoto Univ./Yamaha), Makoto Otani (Kyoto Univ.) EA2018-18
(To be available after the conference date) [more] EA2018-18
pp.103-108
EA, ASJ-H, ASJ-AA 2018-07-25
09:50
Hokkaido Hokkaido Univ. Effect of Loudspeaker Arrangement on Crosstalk Cancellation
Ryo Matsuda, Makoto Otani (Kyoto Univ.), Hikaru Okumura (Kyoto Univ./Yamaha) EA2018-19
(To be available after the conference date) [more] EA2018-19
pp.109-114
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
MI, MICT 2016-09-16
16:40
Tokyo Koganei Campus, Tokyo University of Agriculture and Technology Improving Accuracy of Real-time Sleep Stage Estimation by Considering Personal Sleep Feature
Tomohiro Harada (Ritsumeikan Univ.), Takahiro Kawashima, Morito Morishima (Yamaha Corp.), Keiki Takadama (UEC) MICT2016-47 MI2016-61
This research proposes a novel method to estimate the sleep stage in real-time by heat rate obtained with a non-contact ... [more] MICT2016-47 MI2016-61
pp.63-68
EA 2016-07-07
14:00
Shizuoka Yamaha, Toyooka Factory [Invited Talk] History and technology of YAMAHA HiFi loudspeakers
Masao Noro (YAMAHA) EA2016-10
Yamaha has a long history of developing audio products starting from 1954. We introduce the history of Yamaha’s HiFi lou... [more] EA2016-10
p.19
EA 2016-07-08
14:20
Shizuoka Yamaha, Toyooka Factory Sound field renderer by realtime convolution system
Kyosuke Sugiura, Takao Tsuchiya (Doshisha Univ.), Makoto Otani (Kyoto Univ.), Tsukasa Suenaga, Futochi Shirakihara (Yamaha Co.) EA2016-17
In this report, a realtime sound field renderer which can interactively produce the virtual sound field is developed. Th... [more] EA2016-17
pp.51-56
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, SP, SIP 2016-03-29
14:15
Oita Beppu International Convention Center B-ConPlaza Analysis of a fast fundamental frequency estimation method using recursive moving-average filters -- As a method for making DIO even faster --
Ryunosuke Daido, Yuji Hisaminato (Yamaha Corp.) EA2015-132 SIP2015-181 SP2015-160
We propose a fundamental frequency estimation method which is fast, accurate and suitable for realtime use. While the pr... [more] EA2015-132 SIP2015-181 SP2015-160
pp.367-372
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
IBISML 2014-11-18
15:00
Aichi Nagoya Univ. [Poster Presentation] Denoising High-dimensional Sequences with the Bidirectional Recurrent Restricted Boltzmann Machine
Shoken Kaneko (Yamaha Co.) IBISML2014-62
We propose a probabilistic neural network for modeling high-dimensional sequences with complex non-linearities.
Our mod... [more]
IBISML2014-62
pp.207-212
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