Paper Abstract and Keywords |
Presentation |
2007-06-29 10:50
An investigation on speaker vector-based speaker identification under noisy conditions Yuki Goto, Tatsuya Akatsu, Masaharu Katoh, Tetsuo Kosaka, Masaki Kohda (Yamagata Univ.) SP2007-18 |
Abstract |
(in Japanese) |
(See Japanese page) |
(in English) |
This paper describes the experimental results of the speaker identification method based on a speaker vector under noisy conditions.
The aim of this work is to improve the performance of the speaker identification under noisy conditions close to real environment. The identification system is based on the technique of anchor models. In this system, the location of each speaker is represented by the speaker vector which consists of the set of the likelihood between a target utterance and the anchor models. In order to achieve our goal, the following three methods were investigated : 1)Speech analysis method, 2)the training method of acoustic models, and 3) the structure of anchor models. Evaluations were performed on 8-speaker identification task in Japanese. The results showed that a speaker identification rate of 92.4% has been obtained by phonetically structured GMMs as anchor models under noisy conditions in which added noise types were different between reference speech and test speech. |
Keyword |
(in Japanese) |
(See Japanese page) |
(in English) |
Speaker recognition / speaker identification / speaker identification under noisy conditions / hidden Markov model (HMM) / Gaussian mixture model(GMM) / phonetically structured GMM / Multi-condition model / AFE-WI008 |
Reference Info. |
IEICE Tech. Rep., vol. 107, no. 116, SP2007-18, pp. 61-66, June 2007. |
Paper # |
SP2007-18 |
Date of Issue |
2007-06-21 (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) |
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SP2007-18 |
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