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Paper Abstract and Keywords
Presentation 2016-10-27 13:00
[Invited Talk] Unsupervised Word Discovery based on Bayesian Nonparametrics
Tadahiro Taniguchi (Ritsumeikan) SP2016-44
Abstract (in Japanese) (See Japanese page) 
(in English) Word discovery is a critical task in language acquisition for infants.
Human infants can discover words from speech signals directly without pre-existing linguistic knowledge.
However, direct word discovery from raw speech signals is still a challenging problem in computer science.
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This invited talk introduces our recently developed machine learning method that enables robots to acquire acoustic and language models simultaneously. This means the method enables the robots to acquire them from raw speech signals without any transcribed data, {it i.e.,.}, in an unsupervised manner.
The machine learning method is based on Bayesian nonparametrics.
This talk introduces a probabilistic generative model named hierarchical Dirichlet process-hidden language model, which is a generative model that integrate language and acoustic models.
This talk also reports our some results about direct word discovery from vowel sequences.
Keyword (in Japanese) (See Japanese page) 
(in English) Bayesian nonparametrics / word discovery / unsupervised learning / / / / /  
Reference Info. IEICE Tech. Rep., vol. 116, no. 279, SP2016-44, pp. 21-22, Oct. 2016.
Paper # SP2016-44 
Date of Issue 2016-10-20 (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 SP2016-44

Conference Information
Committee SP  
Conference Date 2016-10-27 - 2016-10-27 
Place (in Japanese) (See Japanese page) 
Place (in English) Shizuoka University. 
Topics (in Japanese) (See Japanese page) 
Topics (in English) Learning, Recognition, Synthesis, Dialogue, etc. 
Paper Information
Registration To SP 
Conference Code 2016-10-SP 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Unsupervised Word Discovery based on Bayesian Nonparametrics 
Sub Title (in English)  
Keyword(1) Bayesian nonparametrics  
Keyword(2) word discovery  
Keyword(3) unsupervised learning  
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1st Author's Name Tadahiro Taniguchi  
1st Author's Affiliation Ritsumeikan University (Ritsumeikan)
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Speaker Author-1 
Date Time 2016-10-27 13:00:00 
Presentation Time 60 minutes 
Registration for SP 
Paper # SP2016-44 
Volume (vol) vol.116 
Number (no) no.279 
Page pp.21-22 
#Pages 2 
Date of Issue 2016-10-20 (SP) 

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