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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PDF Download Page | PDF download Page Link |
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 |
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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 |
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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) |