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Paper Abstract and Keywords
Presentation 2012-02-10 16:30
Telephony Speech Phrasing based on Breath Event Detection
Takashi Fukuda, Osamu Ichikawa, Masafumi Nishimura (IBM Japan) PRMU2011-238 SP2011-153
Abstract (in Japanese) (See Japanese page) 
(in English) In the ASR technology for call center conversations, the system usually divides an input signal into separate utterances and eliminates the unneeded silence parts of the signal before doing ASR processing on the detected utterances. This means the input signal should be split into utterances of the proper length for both ASR performance and readability. However, typical VAD techniques sometimes generate overly long speech segments because they are focused only on the length of the pause (non-speech) between sentences. In contrast, it is shown that speakers typically take breaths for when speaking more than one sentence or long sentences. These breaths are highly correlated with the major prosodic breaks. In this paper, we focus on the breath events in the pause intervals and attempt to split the input signal into utterances by detecting the breathing events. The proposed method leverages acoustic information that is specialized for breathing sounds, which led to a two-step approach to detect the breath events with an accuracy of 97.4%. Also, the proper speech phrasing based on breath events improved word error rate in ASR.
Keyword (in Japanese) (See Japanese page) 
(in English) speech phrasing / breath detection / call monitoring / automatic speech recognition / voice activity detection / / /  
Reference Info. IEICE Tech. Rep., vol. 111, no. 431, SP2011-153, pp. 243-248, Feb. 2012.
Paper # SP2011-153 
Date of Issue 2012-02-02 (PRMU, SP) 
ISSN Print edition: ISSN 0913-5685    Online edition: ISSN 2432-6380
Copyright
and
reproduction		 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)
Download PDF PRMU2011-238 SP2011-153

Conference Information
Committee PRMU SP  
Conference Date 2012-02-09 - 2012-02-10 
Place (in Japanese) (See Japanese page) 
Place (in English)  
Topics (in Japanese) (See Japanese page) 
Topics (in English)  
Paper Information
Registration To SP 
Conference Code 2012-02-PRMU-SP 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Telephony Speech Phrasing based on Breath Event Detection 
Sub Title (in English)  
Keyword(1) speech phrasing  
Keyword(2) breath detection  
Keyword(3) call monitoring  
Keyword(4) automatic speech recognition  
Keyword(5) voice activity detection  
Keyword(6)  
Keyword(7)  
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1st Author's Name Takashi Fukuda  
1st Author's Affiliation IBM Japan, Ltd (IBM Japan)
2nd Author's Name Osamu Ichikawa  
2nd Author's Affiliation IBM Japan, Ltd (IBM Japan)
3rd Author's Name Masafumi Nishimura  
3rd Author's Affiliation IBM Japan, Ltd (IBM Japan)
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Speaker Author-1 
Date Time 2012-02-10 16:30:00 
Presentation Time 30 minutes 
Registration for SP 
Paper # PRMU2011-238, SP2011-153 
Volume (vol) vol.111 
Number (no) no.430(PRMU), no.431(SP) 
Page pp.243-248 
#Pages 6 
Date of Issue 2012-02-02 (PRMU, SP) 

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