Paper Abstract and Keywords |
Presentation |
2018-01-23 14:00
Pitch-based Cluster Segmentalization for Voice Actor Recognition Using Gender Determination in Anime Video Motoki Eida, Shun Hattori (Muroran Inst. of Tech.) IN2017-86 |
Abstract |
(in Japanese) |
(See Japanese page) |
(in English) |
When we hear someone's voice from an anime video, we need to carry extra burdens of searching the end roll of the anime video in order to know about whose voice it is.If a system can recognize a voice actor from his/her voice on behalf of us, not only we can know about the voice actor's name without carrying extra burdens, but also we can acquire widely information about him/her such as his/her appearance information, blogs, related videos, related goods, and event information in the future.Our previous papers tackled a system of voice actor recognition with filtering by cast information extracted from the Web and similarity calculation based on voice amplitude and frequency power spectrum, but the system could not give enough good performance as voice actor recognition accuracy.And also we tried to determine the gender of the owner of a target voice using its fundamental frequency in order to narrow down candidates for voice actors, but our system could not give enough good performance, especially for the male voice actors whose voice is high pitched.Therefore, this paper tries to improve the accuracy of gender determination by pitch-based cluster segmentalization.In addition, we conduct an evaluation on the accuracy of voice actor recognition using the improved gender determination. |
Keyword |
(in Japanese) |
(See Japanese page) |
(in English) |
Voice Actor Recognition / Gender Determination / Anime Video / Segmentalization / / / / |
Reference Info. |
IEICE Tech. Rep., vol. 117, no. 397, IN2017-86, pp. 85-90, Jan. 2018. |
Paper # |
IN2017-86 |
Date of Issue |
2018-01-15 (IN) |
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) |
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IN2017-86 |
Conference Information |
Committee |
IN |
Conference Date |
2018-01-22 - 2018-01-23 |
Place (in Japanese) |
(See Japanese page) |
Place (in English) |
WINC AICHI |
Topics (in Japanese) |
(See Japanese page) |
Topics (in English) |
Contents Distribution, Social Networking Services, Data Analytics and Processing Platform, Big data, etc. |
Paper Information |
Registration To |
IN |
Conference Code |
2018-01-IN |
Language |
Japanese |
Title (in Japanese) |
(See Japanese page) |
Sub Title (in Japanese) |
(See Japanese page) |
Title (in English) |
Pitch-based Cluster Segmentalization for Voice Actor Recognition Using Gender Determination in Anime Video |
Sub Title (in English) |
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Voice Actor Recognition |
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Gender Determination |
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Anime Video |
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Segmentalization |
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1st Author's Name |
Motoki Eida |
1st Author's Affiliation |
Muroran Institute of Technology (Muroran Inst. of Tech.) |
2nd Author's Name |
Shun Hattori |
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Muroran Institute of Technology (Muroran Inst. of Tech.) |
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Speaker |
Author-1 |
Date Time |
2018-01-23 14:00:00 |
Presentation Time |
25 minutes |
Registration for |
IN |
Paper # |
IN2017-86 |
Volume (vol) |
vol.117 |
Number (no) |
no.397 |
Page |
pp.85-90 |
#Pages |
6 |
Date of Issue |
2018-01-15 (IN) |
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