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Paper Abstract and Keywords
Presentation 2019-07-20 13:00
Adaptive Beamformer for Extracting Speech in Desired Direction Using Neural Soft-Mask
Yu Nakagome (Waseda Univ./LINE), Masahito Togami (LINE), Tetsunori Kobayashi (Waseda Univ.) SP2019-8
Abstract (in Japanese) (See Japanese page) 
(in English) A multi-channel speech extraction guided by direction-of-arrival (DOA) estimation is addressed in this paper. A multi-channel beamformer is constructed by multi-channel covariance matrices estimated via a time-frequency mask (TFM) which passes a speech source coming from the target direction. The TFM in the proposed method is constructed via the DOA estimate. Since the DOA estimate is sensitive to microphone-arrangement error or early reverberation effect, the proposed method restores the DOA estimate in a supervised way with a neural network. Additionally, reliability of each time-frequency bin is also estimated so as to lower weight for a time-frequency bin which is not adequate for estimation of the multi-channel covariance matrices. In the proposed method, the network parameters are free from the target direction setting and the target direction is controllable. Experimental results indicate that the proposed method can extract the target speech regardless of target direction, gender, and microphone arrangement and that TFM w/ reliability estimation can extract the target speech more accurately than the TFM w/o reliability estimation.
Keyword (in Japanese) (See Japanese page) 
(in English) spatial beamforming / time-frequency mask / DOA estimation / neural networks / speech extraction / / /  
Reference Info. IEICE Tech. Rep., vol. 119, no. 138, SP2019-8, pp. 9-14, July 2019.
Paper # SP2019-8 
Date of Issue 2019-07-13 (SP) 
ISSN Online edition: ISSN 2432-6380
All rights are reserved and no part of this publication may be reproduced or transmitted in any form or by any means, electronic or mechanical, including photocopy, recording, or any information storage and retrieval system, without permission in writing from the publisher. Notwithstanding, instructors are permitted to photocopy isolated articles for noncommercial classroom use without fee. (License No.: 10GA0019/12GB0052/13GB0056/17GB0034/18GB0034)
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Conference Information
Committee SP IPSJ-SLP  
Conference Date 2019-07-20 - 2019-07-20 
Place (in Japanese) (See Japanese page) 
Place (in English) FURINYA(Tsukioka-Onsen, Niigata) 
Topics (in Japanese) (See Japanese page) 
Topics (in English) Speech recognition and understanding, dialog system, etc. 
Paper Information
Registration To SP 
Conference Code 2019-07-SP-SLP 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Adaptive Beamformer for Extracting Speech in Desired Direction Using Neural Soft-Mask 
Sub Title (in English)  
Keyword(1) spatial beamforming  
Keyword(2) time-frequency mask  
Keyword(3) DOA estimation  
Keyword(4) neural networks  
Keyword(5) speech extraction  
1st Author's Name Yu Nakagome  
1st Author's Affiliation Waseda University/LINE Corporation (Waseda Univ./LINE)
2nd Author's Name Masahito Togami  
2nd Author's Affiliation LINE Corporation (LINE)
3rd Author's Name Tetsunori Kobayashi  
3rd Author's Affiliation Waseda University (Waseda Univ.)
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Speaker Author-1 
Date Time 2019-07-20 13:00:00 
Presentation Time 30 minutes 
Registration for SP 
Paper # SP2019-8 
Volume (vol) vol.119 
Number (no) no.138 
Page pp.9-14 
Date of Issue 2019-07-13 (SP) 

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