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Paper Abstract and Keywords
Presentation 2024-02-29 10:10
Analysis of Overlapped Utterances in Everyday Conversation and Source Separation by Online Independent Vector Analysis for Asynchronous Distributed Recordings
Haruki Nammoku, Taishi Nakashima, Kouei Yamaoka, Yukoh Wakabayashi, Nobutaka Ono (TMU) EA2023-67 SIP2023-114 SP2023-49
Abstract (in Japanese) (See Japanese page) 
(in English) In this study, we investigate the effects of overlapped utterances on transcription in everyday conversation and propose a blind source separation method for asynchronous recordings to solve this problem. Overlapping of utterances, which occurs sometimes in everyday conversations, makes it difficult to transcribe speech data for building a corpus. Firstly, we survey the time of overlapped utterances and the influence of overlapped utterances in actual conversations on the difficulty of transcription using the transcription data from the Corpus of Everyday Japanese Conversation (CEJC). Conventional source separation methods with a batch scheme are difficult to perform against the CEJC audio data, because audio data is recorded by asynchronous voice recorders under dynamic acoustic situations. We propose a supervised online independent vector analysis using the enhanced signal by time--frequency masking as a source model to accomplish source separation for such audio data. We evaluate the performance of the proposed method against asynchronous recordings generated in a simulation environment under the assumed conditions of CEJC-recorded conversations, and it shows that the proposed method can support the transcription of everyday conversations.
Keyword (in Japanese) (See Japanese page) 
(in English) everyday conversation / blind source separation / independent vector analysis / Time-frequency masking / online processing / / /  
Reference Info. IEICE Tech. Rep., vol. 123, no. 401, EA2023-67, pp. 37-42, Feb. 2024.
Paper # EA2023-67 
Date of Issue 2024-02-22 (EA, SIP, SP) 
ISSN 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 EA2023-67 SIP2023-114 SP2023-49

Conference Information
Committee SIP SP EA IPSJ-SLP  
Conference Date 2024-02-29 - 2024-03-01 
Place (in Japanese) (See Japanese page) 
Place (in English)  
Topics (in Japanese) (See Japanese page) 
Topics (in English)  
Paper Information
Registration To EA 
Conference Code 2024-02-SIP-SP-EA-SLP 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Analysis of Overlapped Utterances in Everyday Conversation and Source Separation by Online Independent Vector Analysis for Asynchronous Distributed Recordings 
Sub Title (in English)  
Keyword(1) everyday conversation  
Keyword(2) blind source separation  
Keyword(3) independent vector analysis  
Keyword(4) Time-frequency masking  
Keyword(5) online processing  
Keyword(6)  
Keyword(7)  
Keyword(8)  
1st Author's Name Haruki Nammoku  
1st Author's Affiliation Tokyo Metropolitan University (TMU)
2nd Author's Name Taishi Nakashima  
2nd Author's Affiliation Tokyo Metropolitan University (TMU)
3rd Author's Name Kouei Yamaoka  
3rd Author's Affiliation Tokyo Metropolitan University (TMU)
4th Author's Name Yukoh Wakabayashi  
4th Author's Affiliation Tokyo Metropolitan University (TMU)
5th Author's Name Nobutaka Ono  
5th Author's Affiliation Tokyo Metropolitan University (TMU)
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Speaker Author-1 
Date Time 2024-02-29 10:10:00 
Presentation Time 20 minutes 
Registration for EA 
Paper # EA2023-67, SIP2023-114, SP2023-49 
Volume (vol) vol.123 
Number (no) no.401(EA), no.402(SIP), no.403(SP) 
Page pp.37-42 
#Pages 6 
Date of Issue 2024-02-22 (EA, SIP, SP) 

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