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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 1 - 20 of 31  /  [Next]  
Committee Date Time Place Paper Title / Authors Abstract Paper #
SP, IPSJ-MUS, IPSJ-SLP [detail] 2022-06-18
15:00
Online Online [Poster Presentation] Subjective intensity of musical beats: a psychophysical quantification
Sotaro Kondoh (UTokyo), Kazuo Okanoya (Teikyo Univ. UTokyo), Ryosuke O. Tachibana (UTokyo) SP2022-20
Meter is the core of the musical structure. We perceive meter as one strong beat and several weak beats. The intensity o... [more] SP2022-20
pp.88-89
EST 2022-01-27
16:40
Online Online Study on the Effect of Periodic Fluctuations of Musical Instrument Sounds on Hearing
Kazuhiro Shiba, Takuiti hirano (TCU) EST2021-73
The sound of a musical instrument looks like a periodic waveform, but there are minute changes (variations, irregulariti... [more] EST2021-73
pp.79-83
SIS 2020-12-01
11:25
Online Online [Tutorial Lecture] A Theory for Controlling Musical Noise Based on Higher-Order Statistics
Ryoichi Miyazaki, Takuya Fujimura (NITTC) SIS2020-30
Although nonlinear speech enhancement methods can significantly eliminate background noise, it is known to generate musi... [more] SIS2020-30
pp.18-23
EA 2019-12-12
14:00
Fukuoka Kyushu Inst. Tech. Removal of musical noise using deep learning without pre-training
Takuya Fujimura, Ryoichi Miyazaki (NITTC) EA2019-69
In this paper, we propose the musical noise elimination using the deep learning which does not require pre-training. It ... [more] EA2019-69
pp.23-29
EA 2018-12-13
13:25
Fukuoka kyushu Univ. Relationship between Internal Parameters and Sound Quality in Biased Harmonic Regeneration Technique
Masakazu Une, Ryoichi Miyazaki (NITTC) EA2018-82
Harmonic Regeneration Noise Reduction~(HRNR) has been proposed to improve the speech distortion.
We introduced bias int... [more]
EA2018-82
pp.7-14
EA, ASJ-H, EMM, IPSJ-MUS [detail] 2018-11-21
13:30
Ishikawa Hotel Koshuen Evaluation of DNN-based Low-Musical-Noise Speech Enhancement Using Kurtosis Matching
Satoshi Mizoguchi, Yuki Saito, Shinnosuke Takamichi, Hiroshi Saruwatari (UTokyo) EA2018-66 EMM2018-66
This paper proposes DNN-based speech enhancement with low musical noise by kurtosis matching. Musical noise, artifacts g... [more] EA2018-66 EMM2018-66
pp.19-24
EA, ASJ-H 2018-08-24
09:50
Miyagi Tohoku Gakuin Univ. Acoustic measurements using a frequency domain velvet noise and interference-free power spectral representations of periodic sounds
Hideki Kawahara (Wakayama Univ.), Masanori Morise (Univ. Yamanashi), Mitsunori Mizumachi (Kyu Tech.) EA2018-42
We propose a new framework consisting of a test signal for acoustic impulse response measurement and analysis procedures... [more] EA2018-42
pp.89-96
EMM 2017-01-30
15:45
Miyagi Tohoku University (Miyagi) A Digital Watermarking Technique Based on Musical Characteristics and Distortion Effects
Yuto Matsunaga (Hokkaido Univ.), Tetsuya Kojima (NIT, Tokyo College) EMM2016-78
In this work, we propose two methods of digital watermarking that construct the stego signal with only embedded informat... [more] EMM2016-78
pp.25-30
SIP 2014-08-28
10:55
Osaka Ritsumeikan Univ. (Osaka Umeda Campus) A study of noise identification method based on runs test for iterative spectral subtraction
Ryota Miyake, Takahiro Fukumori, Masato Nakayama, Takanobu Nishiura (Ritsumeikan Unnv.) SIP2014-73
In this paper, we determine the optimal iteration times of L-SS based on kurtosis ratio and SDR for stationary and non-s... [more] SIP2014-73
pp.7-12
SP 2014-02-28
12:40
Tokushima The University of Tokushima [Poster Presentation] A study on criteria of an optimal iteration times based on higher order statistics for spectral subtraction method
Ryota Miyake, Takahiro Fukumori, Masato Nakayama, Takanobu Nishiura (Ritsumeikan Univ.) SP2013-110
In this paper, we estimate optimal iteration times in weighted spectral subtraction to achieve higher noise and musical ... [more] SP2013-110
pp.19-20
SP, EA, SIP 2013-05-16
17:20
Okayama   Analysis on musical noise generation for blind speech extraction based on generalized MMSE short-time spectral amplitude estimator
Shunsuke Nakai, Suzumi Kanehara, Ryoichi Miyazaki, Hiroshi Saruwatari, Kiyohiro Shikano (NAIST) EA2013-13 SIP2013-13 SP2013-13
In this paper, we give an analysis on the amount of musical noise for blind speech extraction based on a generalized mi... [more] EA2013-13 SIP2013-13 SP2013-13
pp.73-78
EA 2012-06-08
14:45
Shizuoka Yamaha Co. Musical Noise Reduction of Spectral Subtraction for Speech Enhancement
Masaru Fujieda, Takashi Yazu (OKI) EA2012-42
In this report, an approach to reduce musical noise of spectral subtraction (SS) for speech enhancement is described. We... [more] EA2012-42
pp.55-60
EA 2012-06-08
15:35
Shizuoka Yamaha Co. Mathematical Metric of Musical Noise for Various Nonlinear Speech Enhancement Algorithms
Suzumi Kanehara, Ryoichi Miyazaki, Hiroshi Saruwatari, Kiyohiro Shikano (NAIST), Kazunobu Kondo (Yamaha) EA2012-44
In this paper, we propose a new theoretical analysis of amount of musical noise generated in several noise reduction met... [more] EA2012-44
pp.67-72
EA 2012-03-16
15:30
Tokyo Central Research Laboratory, Hitachi, Ltd. Improvement of the element selection scheme for FDICA
Kenji Fujita, Kota Takahashi (UEC) EA2011-127
ICA attracts attention as a solution of BSS. However, it is very difficult to get a good separation performance in real ... [more] EA2011-127
pp.43-48
EA, US
(Joint)
2012-01-26
13:30
Osaka Kansai Univ. Evaluation of Musical-Noise-Free Noise Reduction Under Real Acoustic Environments
Ryoichi Miyazaki, Hiroshi Saruwatari, Kiyohiro Shikano (NAIST), Kazunobu Kondo (YAMAHA) EA2011-108
In this report, we propose a new theory of nonlinear noise reduction with
a perfectly musical-noise-free property, wher... [more]
EA2011-108
pp.25-30
EA, EMM 2011-12-09
14:45
Tokyo Kikai-Shinko-Kaikan Bldg. An Audio Watermarking Method for Multiple Instrumental Music Based on Musical Instrument Identification
Harumi Murata, Akio Ogihara, Motoi Iwata, Akira Shiozaki (Osaka Prefecture Univ.) EA2011-100 EMM2011-60
The objective of this work is to devise a new way to embed a watermark into digital audio signal. In the conventional me... [more] EA2011-100 EMM2011-60
pp.25-30
EA 2011-10-28
14:00
Nagano Faculty of Engineering, Shinshu Univ. Noise reduction using the modulated spectral information of speech
Takayuki Iwasaki, Takeshi Saitou, Masato Miyoshi (Kanazawa Univ.) EA2011-70
The spectral subtraction has been widely used to reduce noise from observed speech signals. However, this method still h... [more] EA2011-70
pp.13-17
EA, SIP, SP 2011-05-12
10:25
Osaka Ritsumeikan Univ. A study of musical tone reduction based on subband spectral subtraction
Keisuke Horii, Takahiro Fukumori, Masanori Morise, Takanobu Nishiura, Yoichi Yamashita (Ritsumeikan Univ.) EA2011-1 SIP2011-1 SP2011-1
In this paper, we'll explain reducing musical tone with Spectral Subtraction(SS). SS is generally used because it is ach... [more] EA2011-1 SIP2011-1 SP2011-1
pp.1-6
EA, SIP, SP 2011-05-12
13:50
Osaka Ritsumeikan Univ. Mathematical metric of speech distortion in various types of BSSA
Ryoichi Miyazaki, Hiroshi Saruwatari, Kiyohiro Shikano (NAIST) EA2011-9 SIP2011-9 SP2011-9
In this paper, we propose a structure-generalized parametric blind spatial subtraction array (BSSA), and the theoretical... [more] EA2011-9 SIP2011-9 SP2011-9
pp.49-54
SP 2011-01-27
15:15
Kyoto NICT Mathematical metric of musical noise in Wiener filtering
Takayuki Inoue, Hiroshi Saruwatari, Kiyohiro Shikano (NAIST), Kazunobu Kondo (YAMAHA) SP2010-105
Recently, one of the authors has reported that the amount of generated musical noise is strongly correlated with higher-... [more] SP2010-105
pp.13-18
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