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| Presentation | 2017-12-14 10:50 Harmonic Structure Detection in Speech Separation Using Modified DFT Pair Based on ASA Motohiro Ichikawa, Isao Nakanishi (Tottori Univ)  SIS2017-34 |
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| Abstract | (in Japanese) | (See Japanese page) |
| (in English) | Humans have the ability of cocktail party effect to be able to recognized the target voice from the various conversations. Auditory scene analysis (ASA) is a framework that turns its ability into model. In this study, we propose speech separation by decomposing mixed sounds with single microphone input sequentially into frequency signals using Modified DFT pairs, extracting the ASA’s four features, and regrouping frequency signals. In this paper, we improve the detection part of the harmonic structure that is the core in the speech separation system constructed by the previous study, and improve the separation accuracy. | |
| Keyword | (in Japanese) | (See Japanese page) |
| (in English) | Speech Separation / Auditory Scene Analysis / Computational Auditory Scene Analysis / Sequential Implementation / Harmonic Structure / / / | |
| Reference Info. | IEICE Tech. Rep., vol. 117, no. 349, SIS2017-34, pp. 5-9, Dec. 2017. | |
| Paper # | SIS2017-34 | |
| Date of Issue | 2017-12-07 (SIS) | |
| 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 | SIS2017-34 |
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| Conference Information | |
| Committee | SIS |
| Conference Date | 2017-12-14 - 2017-12-15 |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | Tottori Prefectural Center for Lifelong Learning |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | System on Silicon, Short Range Wireless Systems, etc. |
| Paper Information | |
| Registration To | SIS |
| Conference Code | 2017-12-SIS |
| Language | Japanese |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Harmonic Structure Detection in Speech Separation Using Modified DFT Pair Based on ASA |
| Sub Title (in English) | |
| Keyword(1) | Speech Separation |
| Keyword(2) | Auditory Scene Analysis |
| Keyword(3) | Computational Auditory Scene Analysis |
| Keyword(4) | Sequential Implementation |
| Keyword(5) | Harmonic Structure |
| Keyword(6) | |
| Keyword(7) | |
| Keyword(8) | |
| 1st Author's Name | Motohiro Ichikawa |
| 1st Author's Affiliation | Tottori University (Tottori Univ) |
| 2nd Author's Name | Isao Nakanishi |
| 2nd Author's Affiliation | Tottori University (Tottori Univ) |
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| Speaker | Author-1 |
| Date Time | 2017-12-14 10:50:00 |
| Presentation Time | 20 minutes |
| Registration for | SIS |
| Paper # | SIS2017-34 |
| Volume (vol) | vol.117 |
| Number (no) | no.349 |
| Page | pp.5-9 |
| #Pages | 5 |
| Date of Issue | 2017-12-07 (SIS) |
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