Presentation | 2020-12-01 [Tutorial Lecture] A Theory for Controlling Musical Noise Based on Higher-Order Statistics Ryoichi Miyazaki, Takuya Fujimura, |
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PDF Download Page | PDF download Page Link |
Abstract(in Japanese) | (See Japanese page) |
Abstract(in English) | Although nonlinear speech enhancement methods can significantly eliminate background noise, it is known to generate musical noise. Musical noise is an artificial noise that is aurally very disagreeable and does not exist in nature. In this paper, we present a case study of the derivation of internal parameters that suppress the occurrence of musical noise by statistical and theoretical analysis. The {it musical-noise-free theorem}, which does not generate any musical noise, is also described. In addition, we report on deep learning-based musical noise elimination. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | Musical noise / speech enhancement / higher-order statistics / deep learning |
Paper # | SIS2020-30 |
Date of Issue | 2020-11-24 (SIS) |
Conference Information | |
Committee | SIS |
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Conference Date | 2020/12/1(1days) |
Place (in Japanese) | (See Japanese page) |
Place (in English) | Online |
Topics (in Japanese) | (See Japanese page) |
Topics (in English) | Smart Personal Systems, etc. |
Chair | Noriaki Suetake(Yamaguchi Univ.) |
Vice Chair | Tomoaki Kimura(Kanagawa Inst. of Tech.) / Naoto Sasaoka(Tottori Univ.) |
Secretary | Tomoaki Kimura(Kindai Univ.) / Naoto Sasaoka(National Inst. of Tech., Ube College) |
Assistant | Yukihiro Bandoh(NTT) / Soh Yoshida(Kansai Univ.) |
Paper Information | |
Registration To | Technical Committee on Smart Info-Media Systems |
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Language | JPN |
Title (in Japanese) | (See Japanese page) |
Sub Title (in Japanese) | (See Japanese page) |
Title (in English) | [Tutorial Lecture] A Theory for Controlling Musical Noise Based on Higher-Order Statistics |
Sub Title (in English) | |
Keyword(1) | Musical noise |
Keyword(2) | speech enhancement |
Keyword(3) | higher-order statistics |
Keyword(4) | deep learning |
1st Author's Name | Ryoichi Miyazaki |
1st Author's Affiliation | National Institute of Technology, Tokuyama College(NITTC) |
2nd Author's Name | Takuya Fujimura |
2nd Author's Affiliation | National Institute of Technology, Tokuyama College(NITTC) |
Date | 2020-12-01 |
Paper # | SIS2020-30 |
Volume (vol) | vol.120 |
Number (no) | SIS-269 |
Page | pp.pp.18-23(SIS), |
#Pages | 6 |
Date of Issue | 2020-11-24 (SIS) |