Presentation 2019-03-14
[Poster Presentation] Diffuse noise reduction using adversarial denoising autoencoder
Hikari Tanabe, Naohiro Tawara, Tetsunori Kobayashi, Masaru Fujieda, Katagiri Kazuhiro, Takashi Yazu, Tetsuji Ogawa,
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Abstract(in Japanese) (See Japanese page)
Abstract(in English) In this study, we attempted to remove diffuse noise by a model combining a prefilter and an adversarial denoising autoencoder (aDAE). Since diffuse noise is caused by many noise sources or surface sound sources, it was difficult to remove diffuse noise by approaches assuming point sound sources. Deep learning based methods are expected to remove diffuse noise effectively since they are unnecessary to use assumption, but on the other hand, over fitting is likely to occur and the performance is deteriorated for unknown noise which is not used for training. In order to facilitate learning of aDAE, we used MVDR beamformer or ideal binary masking(idBM) as a pre-filter. We also introduced noise-aware training which feeds aDAE a noise-extracted signal as an auxiliary signal. Experiments using 2 channel microphones showed the effectiveness of pre-filter, aDAE with pre-filter outperformed original aDAE. Although MVDR beamformer cannot direct null angle to all interfering sources and its noise suppression is not strong, high performance is achieved by combining with aDAE. It was confirmed that noise-aware training is effective for aDAE with MVDR beamformer combined. By comparing pre-filters, it was revealed that MVDR beamformer is more suitable as a pre-filter of aDAE than idBM.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) noise reduction / adversarial generative network / MVDR beamformer / ideal-binary masking / noise-aware training
Paper # EA2018-125,SIP2018-131,SP2018-87
Date of Issue 2019-03-07 (EA, SIP, SP)

Conference Information
Committee EA / SIP / SP
Conference Date 2019/3/14(2days)
Place (in Japanese) (See Japanese page)
Place (in English) i+Land nagasaki (Nagasaki-shi)
Topics (in Japanese) (See Japanese page)
Topics (in English) Engineering/Electro Acoustics, Signal Processing, Speech, and Related Topics
Chair Suehiro Shimauchi(Kanazawa Inst. of Tech.) / Shogo Muramatsu(Niigata Univ.) / Yoichi Yamashita(Ritsumeikan Univ.)
Vice Chair Kenichi Furuya(Oita Univ.) / Kanji Watanabe(Akita Pref. Univ.) / Naoyuki Aikawa(TUS) / Kazunori Hayashi(Osaka City Univ) / Akinobu Ri(Nagoya Inst. of Tech.)
Secretary Kenichi Furuya(Shizuoka Inst. of Science and Tech.) / Kanji Watanabe(NHK) / Naoyuki Aikawa(Takushoku Univ.) / Kazunori Hayashi(Hiroshima Univ.) / Akinobu Ri(Kyoto Univ.)
Assistant Keisuke Imoto(Ritsumeikan Univ.) / Daisuke Morikawa(Toyama Pref Univ.) / Katsumi Konishi(Hosei Univ.) / hyihsin(Takushoku Univ.) / Tomoki Koriyama(Tokyo Inst. of Tech.) / Satoshi Kobashikawa(NTT)

Paper Information
Registration To Technical Committee on Engineering Acoustics / Technical Committee on Signal Processing / Technical Committee on Speech
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) [Poster Presentation] Diffuse noise reduction using adversarial denoising autoencoder
Sub Title (in English)
Keyword(1) noise reduction
Keyword(2) adversarial generative network
Keyword(3) MVDR beamformer
Keyword(4) ideal-binary masking
Keyword(5) noise-aware training
1st Author's Name Hikari Tanabe
1st Author's Affiliation Waseda City University(Waseda Univ.)
2nd Author's Name Naohiro Tawara
2nd Author's Affiliation Waseda City University(Waseda Univ.)
3rd Author's Name Tetsunori Kobayashi
3rd Author's Affiliation Waseda City University(Waseda Univ.)
4th Author's Name Masaru Fujieda
4th Author's Affiliation OKI Electric Industry Co.(OKI)
5th Author's Name Katagiri Kazuhiro
5th Author's Affiliation OKI Electric Industry Co.(OKI)
6th Author's Name Takashi Yazu
6th Author's Affiliation OKI Electric Industry Co.(OKI)
7th Author's Name Tetsuji Ogawa
7th Author's Affiliation Waseda City University(Waseda Univ.)
Date 2019-03-14
Paper # EA2018-125,SIP2018-131,SP2018-87
Volume (vol) vol.118
Number (no) EA-495,SIP-496,SP-497
Page pp.pp.155-160(EA), pp.155-160(SIP), pp.155-160(SP),
#Pages 6
Date of Issue 2019-03-07 (EA, SIP, SP)