| Paper Abstract and Keywords |
| Presentation |
2024-03-14 14:00
Consideration on divisions and combinations of Learning Data for Speaker Diarization in Multiple Speakers Kaito Uemura, Keiichi Horio (Kyushu Institute of Technology) SIS2023-48 |
| Abstract |
(in Japanese) |
(See Japanese page) |
| (in English) |
Today, the importance of a speech segment detection technique called speaker diarization is increasing, mainly in the fields of conference, news, and telephone speech. However, conventional neural network-based speaker diarization assumes a large amount of training data. In this study, training data was generated by recording the speech of two speakers of the same gender and creating a synthetic voice by splitting and combining them. The effect of the number of segmentations and combinations on the accuracy of the test data was verified. |
| Keyword |
(in Japanese) |
(See Japanese page) |
| (in English) |
Diarization / Bidirectional LSTM / voice recognition / / / / / |
| Reference Info. |
IEICE Tech. Rep., vol. 123, no. 440, SIS2023-48, pp. 17-20, March 2024. |
| Paper # |
SIS2023-48 |
| Date of Issue |
2024-03-07 (SIS) |
| ISSN |
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 |
SIS2023-48 |
| Conference Information |
| Committee |
SIS |
| Conference Date |
2024-03-14 - 2024-03-15 |
| Place (in Japanese) |
(See Japanese page) |
| Place (in English) |
Kanagawa Institute of Technology |
| Topics (in Japanese) |
(See Japanese page) |
| Topics (in English) |
Soft computing, etc. |
| Paper Information |
| Registration To |
SIS |
| Conference Code |
2024-03-SIS |
| Language |
Japanese |
| Title (in Japanese) |
(See Japanese page) |
| Sub Title (in Japanese) |
(See Japanese page) |
| Title (in English) |
Consideration on divisions and combinations of Learning Data for Speaker Diarization in Multiple Speakers |
| Sub Title (in English) |
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| Keyword(1) |
Diarization |
| Keyword(2) |
Bidirectional LSTM |
| Keyword(3) |
voice recognition |
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| 1st Author's Name |
Kaito Uemura |
| 1st Author's Affiliation |
Kyushu Institute of Technology (Kyushu Institute of Technology) |
| 2nd Author's Name |
Keiichi Horio |
| 2nd Author's Affiliation |
Kyushu Institute of Technology (Kyushu Institute of Technology) |
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| Speaker |
Author-1 |
| Date Time |
2024-03-14 14:00:00 |
| Presentation Time |
20 minutes |
| Registration for |
SIS |
| Paper # |
SIS2023-48 |
| Volume (vol) |
vol.123 |
| Number (no) |
no.440 |
| Page |
pp.17-20 |
| #Pages |
4 |
| Date of Issue |
2024-03-07 (SIS) |