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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 1 - 11 of 11  /   
Committee Date Time Place Paper Title / Authors Abstract Paper #
EMM, EA, ASJ-H 2023-11-23
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
SP, IPSJ-MUS, IPSJ-SLP 2020-06-06
Online Online [Invited Talk] Singing Synthesis in "Bringing Hibari Misora Back with AI"
Ryunosuke Daido, Keijiro Saino (Yamaha Corp.) SP2020-4
 [more] SP2020-4
MI, MICT 2016-09-16
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
EA, SP, SIP 2016-03-29
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
Kyoto Kambaikan, Doshisha Univ. Signal separation for real instruments based on supervised NMF with basis deformation
Daichi Kitamura, Hiroshi Saruwatari, Kiyohiro Shikano (NAIST), Kazunobu Kondo, Yu Takahashi (Yamaha) EA2012-121
Nonnegative Matrix Factorization (NMF) is one of the technique used for separation of an audio mixture that consists of ... [more] EA2012-121
EA 2011-03-18
Aichi Nagoya Univ. Tiny-setup Blind Source Separation via Time-Varying Softmask based on Alternative Separation Matrix
Kazunobu Kondo, Yu Takahashi, Seiichi Hashimoto (Yamaha Corp.), Takanori Nishino (Mie Univ.), Kazuya Takeda (Nagoya Univ.) EA2010-126
Frequency domain independent component analyis has received much attention from many industries for high performace spee... [more] EA2010-126
EA, SIP, SP 2009-05-28
Hyogo   Musical-noise regulation for combination method of channel-domain nonlinear speech enhancement and adaptive array signal processing
Yohei Ishiskawa, Yu Takahashi, Hiroshi Saruwatari, Kiyohiro Shikano (Nara Inst. of Sci and Tech.), Kazunobu Kondo (Yamaha Corp.) EA2009-3 SIP2009-3 SP2009-8
Recently, many integration methods of linear microphone array signal
processing and nonlinear signal processing for noi... [more]
EA2009-3 SIP2009-3 SP2009-8
Kyoto   Objective sound quality comparison based on higher-order statistics for nonlinear noise reduction methods
Yoshihisa Uemura, Yu Takahashi, Hiroshi Saruwatari, Kiyohiro Shikano (NAIST), Kazunobu Kondo (Yamaha) EA2008-127
In this paper, we reveal new findings about the generated musical noise in minimum mean-square error short-time spectral... [more] EA2008-127
Kyoto   Objective sound quality evaluation for combination method of beamforming and spectral subtraction
Yu Takahashi, Keiichi Osako, Hiroshi Saruwatari, Kiyohiro Shikano (NAIST), Kazunobu Kondo (Yamaha) EA2008-128
In this paper, we conduct an analysis for reduction of musical noise in integration method of microphone array signal p... [more] EA2008-128
EA 2008-07-18
Nara   Relationship between logarithmic kurtosis ratio and degree of musical noise generation on spectral subtraction
Yoshihisa Uemura, Yu Takahashi, Hiroshi Saruwatari, Kiyohiro Shikano (NAIST), Kazunobu Kondo (YAMAHA) EA2008-44
In this paper, we propose a mathematical metric of the amount of musical noise generated in spectral subtraction. Spectr... [more] EA2008-44
SP 2008-03-20
Tokyo Univ. Tokyo [Poster Presentation] A Fast Sequence Kernel for Sequential Data Classification
Makoto Yamada (SOKENDAI/Yamaha Corp.), Tomoko Matsui (Inst. of Statistical Mathematics) SP2007-199
Sequence kernel based speaker verification systems have been shown to outperform the conventional systems based on Gauss... [more] SP2007-199
 Results 1 - 11 of 11  /   
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