Committee |
Date Time |
Place |
Paper Title / Authors |
Abstract |
Paper # |
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 18:35 |
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 |
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, 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 |
US, EA (Joint) |
2013-01-24 11:20 |
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 pp.13-18 |
EA |
2011-03-18 10:00 |
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 pp.1-6 |
EA, SIP, SP |
2009-05-28 14:15 |
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 pp.11-16 |
EA, US (Joint) |
2009-01-30 11:00 |
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 pp.67-72 |
EA, US (Joint) |
2009-01-30 11:25 |
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 pp.73-78 |
EA |
2008-07-18 17:00 |
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 pp.43-48 |
SP |
2008-03-20 15:15 |
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 pp.75-80 |