Presentation 2018-11-21
Evaluation of DNN-based Low-Musical-Noise Speech Enhancement Using Kurtosis Matching
Satoshi Mizoguchi, Yuki Saito, Shinnosuke Takamichi, Hiroshi Saruwatari,
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Abstract(in Japanese) (See Japanese page)
Abstract(in English) This paper proposes DNN-based speech enhancement with low musical noise by kurtosis matching. Musical noise, artifacts generated by nonlinear signal processing, causes a negative effect on the auditory impression. Quantity of the generated musical noise is significantly correlated with increase in kurtosis from observed signal to enhanced signal. Although soft-mask-based DNN speech enhancement has a high performance on noise reduction thanks to rich power of expression of DNN, it does not consider generation of musical noise. This paper proposes low-musical-noise speech enhancement without degrading noise-reduction-rate and generating significant speech distortion by applying kurtosis matching, which is regularization to prevent kurtosis from increasing, to DNN-based speech enhancement. We give objective evaluation of the enhanced speech signal to demonstrate the efficiency of the proposed method.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) speech enhancement / musical noise / kurtosis matching / deep learning
Paper # EA2018-66,EMM2018-66
Date of Issue 2018-11-14 (EA, EMM)

Conference Information
Committee EA / ASJ-H / EMM / IPSJ-MUS
Conference Date 2018/11/21(2days)
Place (in Japanese) (See Japanese page)
Place (in English) Hotel Koshuen
Topics (in Japanese) (See Japanese page)
Topics (in English) [Beginners Session] Engineering/Electro Acoustics, Psychological and Physiological Acoustics, Music and Computer, Content Processing, Digital Watermarking, and Related Topics
Chair Suehiro Shimauchi(Kanazawa Inst. of Tech.) / 小澤 賢司(山梨大) / Keiichi Iwamura(TUC) / 吉井 和佳(京大)
Vice Chair Kenichi Furuya(Oita Univ.) / Kanji Watanabe(Akita Pref. Univ.) / 中川 誠司(千葉大) / Minoru Kuribayashi(Okayama Univ.) / Tetsuya Kojima(NIT,Tokyo College)
Secretary Kenichi Furuya(Shizuoka Inst. of Science and Tech.) / Kanji Watanabe(NHK) / 中川 誠司(尚絅大) / Minoru Kuribayashi(北陸先端大) / Tetsuya Kojima(千葉大) / (NIT, Tokyo)
Assistant Keisuke Imoto(Ritsumeikan Univ.) / Daisuke Morikawa(Toyama Pref Univ.) / / Hiroko Akiyama(NIT, Nagano College) / キタヒロ カネダ(CANON)

Paper Information
Registration To Technical Committee on Engineering Acoustics / Auditory Research Meeting / Technical Committee on Enriched MultiMedia / Special Interest Group on Music and Computer
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Evaluation of DNN-based Low-Musical-Noise Speech Enhancement Using Kurtosis Matching
Sub Title (in English)
Keyword(1) speech enhancement
Keyword(2) musical noise
Keyword(3) kurtosis matching
Keyword(4) deep learning
1st Author's Name Satoshi Mizoguchi
1st Author's Affiliation The University of Tokyo(UTokyo)
2nd Author's Name Yuki Saito
2nd Author's Affiliation The University of Tokyo(UTokyo)
3rd Author's Name Shinnosuke Takamichi
3rd Author's Affiliation The University of Tokyo(UTokyo)
4th Author's Name Hiroshi Saruwatari
4th Author's Affiliation The University of Tokyo(UTokyo)
Date 2018-11-21
Paper # EA2018-66,EMM2018-66
Volume (vol) vol.118
Number (no) EA-312,EMM-313
Page pp.pp.19-24(EA), pp.19-24(EMM),
#Pages 6
Date of Issue 2018-11-14 (EA, EMM)