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| Presentation | 2019-03-15 13:30 [Poster Presentation] Design and Evaluation of Ladder Denoising Autoencoder for Auditory Speech Feature Extraction of Overlapped Speech Separation Hiroshi Sekiguchi, Yoshiaki Narusue, Hiroyuki Morikawa (Univ. of Tokyo)  EA2018-155 SIP2018-161 SP2018-117 |
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| Abstract | (in Japanese) | (See Japanese page) |
| (in English) | Primates and mammalian distinguish overlapped speech sounds from one another by recognizing a single sound source whether temporal contour of auditory speech features in auditory neurons are similar.This is called as temporal synchronization detection and clustering function. The performance of this detection and clustering function depends on the former function that is auditory speech feature extraction. The feature extraction is needed to satisfy two requirements: 1) auditory speech features are mutually stochastic independent and 2) the feature extraction should allow various complicated sounds to be represented, which leads to non-linearity.This paper introduces non-linear sparse encoder decoder model as computational model, implements it with a ladder network, and finally evaluate that network behavior. We show that our trained network can output auditory speech features that are mutually stochastic independent. | |
| Keyword | (in Japanese) | (See Japanese page) |
| (in English) | Ladder Network / Speech Separation / Auditory Neuroscience / Auditory Speech Feature Extraction / stochastic independence / / / | |
| Reference Info. | IEICE Tech. Rep., vol. 118, no. 497, SP2018-117, pp. 329-333, March 2019. | |
| Paper # | SP2018-117 | |
| Date of Issue | 2019-03-07 (EA, SIP, 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 | EA2018-155 SIP2018-161 SP2018-117 |
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| Conference Information | |
| Committee | EA SIP SP |
| Conference Date | 2019-03-14 - 2019-03-15 |
| 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 |
| Paper Information | |
| Registration To | SP |
| Conference Code | 2019-03-EA-SIP-SP |
| Language | Japanese |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Design and Evaluation of Ladder Denoising Autoencoder for Auditory Speech Feature Extraction of Overlapped Speech Separation |
| Sub Title (in English) | |
| Keyword(1) | Ladder Network |
| Keyword(2) | Speech Separation |
| Keyword(3) | Auditory Neuroscience |
| Keyword(4) | Auditory Speech Feature Extraction |
| Keyword(5) | stochastic independence |
| Keyword(6) | |
| Keyword(7) | |
| Keyword(8) | |
| 1st Author's Name | Hiroshi Sekiguchi |
| 1st Author's Affiliation | The University of Tokyo (Univ. of Tokyo) |
| 2nd Author's Name | Yoshiaki Narusue |
| 2nd Author's Affiliation | The University of Tokyo (Univ. of Tokyo) |
| 3rd Author's Name | Hiroyuki Morikawa |
| 3rd Author's Affiliation | The University of Tokyo (Univ. of Tokyo) |
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| Speaker | Author-1 |
| Date Time | 2019-03-15 13:30:00 |
| Presentation Time | 90 minutes |
| Registration for | SP |
| Paper # | EA2018-155, SIP2018-161, SP2018-117 |
| Volume (vol) | vol.118 |
| Number (no) | no.495(EA), no.496(SIP), no.497(SP) |
| Page | pp.329-333 |
| #Pages | 5 |
| Date of Issue | 2019-03-07 (EA, SIP, SP) |
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