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| Presentation | 2015-12-08 15:20 Realtime Detection of Speaker Change Considering Mobile Device Environment Masashi Tateno, Eiji Kamioka (SIT)  WIT2015-64 |
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| Abstract | (in Japanese) | (See Japanese page) |
| (in English) | Aiming at achieving a high performance speaker change detection using mobile-devices, the extraction of each person’s individuality in the vocal tract characteristic using the cepstrum information has been proposed. However, the use of a combined characteristic, which is created from several characteristics, is more advantageous than the one of single characteristic in order to improve the accuracy of speaker change detection. In addition, the appropriate threshold value to the combined characteristic is needed to decide if the speaker change has occurred or not. In this paper, in the speaker change detection, the most effective combination of characteristics among Mel-Cepstrum, fundamental frequency, MFCC, and their Δ and ΔΔ parameters will be discussed. Moreover, the most appropriate threshold value of the combined characteristic to the speaker change detection will be shown. | |
| Keyword | (in Japanese) | (See Japanese page) |
| (in English) | Speaker Change Detection / Speaker Verification / Mel-Cepstrum / Fundamental Frequency / Vocal Tract Characteristics / Mel Scale / / | |
| Reference Info. | IEICE Tech. Rep., vol. 115, no. 354, WIT2015-64, pp. 7-12, Dec. 2015. | |
| Paper # | WIT2015-64 | |
| Date of Issue | 2015-12-01 (WIT) | |
| 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 | WIT2015-64 |
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| Conference Information | |
| Committee | WIT HI-SIGACI |
| Conference Date | 2015-12-08 - 2015-12-09 |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | AIST Tokyo Waterfront |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | Well-being Information Technology, etc. |
| Paper Information | |
| Registration To | WIT |
| Conference Code | 2015-12-WIT-SIGACI |
| Language | Japanese |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Realtime Detection of Speaker Change Considering Mobile Device Environment |
| Sub Title (in English) | |
| Keyword(1) | Speaker Change Detection |
| Keyword(2) | Speaker Verification |
| Keyword(3) | Mel-Cepstrum |
| Keyword(4) | Fundamental Frequency |
| Keyword(5) | Vocal Tract Characteristics |
| Keyword(6) | Mel Scale |
| Keyword(7) | |
| Keyword(8) | |
| 1st Author's Name | Masashi Tateno |
| 1st Author's Affiliation | Shibaura Institute of Technology (SIT) |
| 2nd Author's Name | Eiji Kamioka |
| 2nd Author's Affiliation | Shibaura Institute of Technology (SIT) |
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| Speaker | Author-1 |
| Date Time | 2015-12-08 15:20:00 |
| Presentation Time | 20 minutes |
| Registration for | WIT |
| Paper # | WIT2015-64 |
| Volume (vol) | vol.115 |
| Number (no) | no.354 |
| Page | pp.7-12 |
| #Pages | 6 |
| Date of Issue | 2015-12-01 (WIT) |
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