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| Presentation | 2018-03-19 13:00 [Poster Presentation] Acoustic analysis of speech for emergency speech detection of voicemail Matsuto Hori (Meiji Univ.), Hosana Kamiyama, Satoshi Kobashikawa (NTT), Shigeki Sagayama (Meiji Univ.)  EA2017-112 SIP2017-121 SP2017-95 |
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| Abstract | (in Japanese) | (See Japanese page) |
| (in English) | In this paper, we investigate the effectiveness of acoustic features for detecting urgency in voicemail. In previous research, acoustic features for the estimation of emotions such as joy and anger were investigated. Furthermore, the detection of urgency in single word recordings has been studied. In our research, we used a more complex data set containing recordings of simulated voicemail in which the customer tells highly urgent requests to a company. In our experiments, the discrimination accuracy rose from 65% when only using MFCC features as in previous research, to 73% when using all acoustic features discussed in this paper. | |
| Keyword | (in Japanese) | (See Japanese page) |
| (in English) | Emotion estimation / Speech urgency detection / Acoustic features / Voicemail / / / / | |
| Reference Info. | IEICE Tech. Rep., vol. 117, no. 517, SP2017-95, pp. 63-68, March 2018. | |
| Paper # | SP2017-95 | |
| Date of Issue | 2018-03-12 (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 | EA2017-112 SIP2017-121 SP2017-95 |
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| Conference Information | |
| Committee | SIP EA SP MI |
| Conference Date | 2018-03-19 - 2018-03-20 |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | Speech, Engineering/Electro Acoustics, Signal Processing, and Related Topics [SIP, EA, SP]/ Medical Image Engineering, Analysis, Recognition, etc. [MI] |
| Paper Information | |
| Registration To | SP |
| Conference Code | 2018-03-SIP-EA-SP-MI |
| Language | Japanese |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Acoustic analysis of speech for emergency speech detection of voicemail |
| Sub Title (in English) | |
| Keyword(1) | Emotion estimation |
| Keyword(2) | Speech urgency detection |
| Keyword(3) | Acoustic features |
| Keyword(4) | Voicemail |
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| Keyword(8) | |
| 1st Author's Name | Matsuto Hori |
| 1st Author's Affiliation | Meiji University (Meiji Univ.) |
| 2nd Author's Name | Hosana Kamiyama |
| 2nd Author's Affiliation | NTT Media Intelligence Laboratories, NTT Corporation (NTT) |
| 3rd Author's Name | Satoshi Kobashikawa |
| 3rd Author's Affiliation | NTT Media Intelligence Laboratories, NTT Corporation (NTT) |
| 4th Author's Name | Shigeki Sagayama |
| 4th Author's Affiliation | Meiji University (Meiji Univ.) |
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| Speaker | Author-1 |
| Date Time | 2018-03-19 13:00:00 |
| Presentation Time | 90 minutes |
| Registration for | SP |
| Paper # | EA2017-112, SIP2017-121, SP2017-95 |
| Volume (vol) | vol.117 |
| Number (no) | no.515(EA), no.516(SIP), no.517(SP) |
| Page | pp.63-68 |
| #Pages | 6 |
| Date of Issue | 2018-03-12 (EA, SIP, SP) |
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