| Paper Abstract and Keywords |
| Presentation |
2019-01-27 11:05
A Speaker Recognition Performance Measure based on the Adaptation Quickness and Final Accuracy for Spoken Dialog Systems Junko Takami, Takeshi Kawabata (KGU) SP2018-59 |
| Abstract |
(in Japanese) |
(See Japanese page) |
| (in English) |
For constructing user friendly spoken dialog system, it is important to recognize "Who is the user?" and to choose appropriate behaviors. For this purpose, not only the speaker recognition accuracy but also the quick response are needed. This paper introduces the 2-dimensional performance measurement for the GMM-supervector-based speaker recognition system based on the adaptation quickness and final accuracy. The speaker recognition accuracy is a function of the quantity of adaptation data uttered by the session user. The system approximates the function as an exponential-based saturation curve with 3 parameters. The 1st parameter is the inverse of the data quantity for reducing recognition errors to half. It represents the "adaptation quickness." The 2nd parameter relates the initial accuracy and is not so important. The 3rd parameter represents the "final accuracy." This paper also describes a study of GMM supervector spaces using this 2-dimensional measurement. |
| Keyword |
(in Japanese) |
(See Japanese page) |
| (in English) |
spoken dialog system / speaker recognition / GMM supervector / / / / / |
| Reference Info. |
IEICE Tech. Rep., vol. 118, no. 426, SP2018-59, pp. 35-40, Jan. 2019. |
| Paper # |
SP2018-59 |
| Date of Issue |
2019-01-19 (SP) |
| 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 |
SP2018-59 |
| Conference Information |
| Committee |
SP |
| Conference Date |
2019-01-26 - 2019-01-27 |
| Place (in Japanese) |
(See Japanese page) |
| Place (in English) |
Kanazawa-Harmonie |
| Topics (in Japanese) |
(See Japanese page) |
| Topics (in English) |
Speech Synthesis, Generation, Prosody, Emergency Broadcast, etc. |
| Paper Information |
| Registration To |
SP |
| Conference Code |
2019-01-SP |
| Language |
Japanese |
| Title (in Japanese) |
(See Japanese page) |
| Sub Title (in Japanese) |
(See Japanese page) |
| Title (in English) |
A Speaker Recognition Performance Measure based on the Adaptation Quickness and Final Accuracy for Spoken Dialog Systems |
| Sub Title (in English) |
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| Keyword(1) |
spoken dialog system |
| Keyword(2) |
speaker recognition |
| Keyword(3) |
GMM supervector |
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| 1st Author's Name |
Junko Takami |
| 1st Author's Affiliation |
Kwansei Gakuin University (KGU) |
| 2nd Author's Name |
Takeshi Kawabata |
| 2nd Author's Affiliation |
Kwansei Gakuin University (KGU) |
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| Speaker |
Author-1 |
| Date Time |
2019-01-27 11:05:00 |
| Presentation Time |
25 minutes |
| Registration for |
SP |
| Paper # |
SP2018-59 |
| Volume (vol) |
vol.118 |
| Number (no) |
no.426 |
| Page |
pp.35-40 |
| #Pages |
6 |
| Date of Issue |
2019-01-19 (SP) |