Study on Feature Complementarity of Statistics, Energy, and Principal Information for Spoofing Detection

10.1109/ACCESS.2020.3013066

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Bibliographic Details
Main Authors:	Liu, L., Yang, J.
Other Authors:	ELECTRICAL AND COMPUTER ENGINEERING
Format:	Article
Published:	Institute of Electrical and Electronics Engineers Inc. 2021
Subjects:	anti-spoofing countermeasure automatic speaker verification Constant-Q transform
Online Access:	https://scholarbank.nus.edu.sg/handle/10635/196232
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Institution:	National University of Singapore

id	sg-nus-scholar.10635-196232
record_format	dspace
spelling	sg-nus-scholar.10635-1962322024-11-12T15:55:52Z Study on Feature Complementarity of Statistics, Energy, and Principal Information for Spoofing Detection Liu, L. Yang, J. ELECTRICAL AND COMPUTER ENGINEERING anti-spoofing countermeasure automatic speaker verification Constant-Q transform 10.1109/ACCESS.2020.3013066 IEEE Access 8 141170-141181 2021-08-10T03:06:36Z 2021-08-10T03:06:36Z 2020 Article Liu, L., Yang, J. (2020). Study on Feature Complementarity of Statistics, Energy, and Principal Information for Spoofing Detection. IEEE Access 8 : 141170-141181. ScholarBank@NUS Repository. https://doi.org/10.1109/ACCESS.2020.3013066 2169-3536 https://scholarbank.nus.edu.sg/handle/10635/196232 Institute of Electrical and Electronics Engineers Inc. Scopus OA2020
institution	National University of Singapore
building	NUS Library
continent	Asia
country	Singapore Singapore
content_provider	NUS Library
collection	ScholarBank@NUS
topic	anti-spoofing countermeasure automatic speaker verification Constant-Q transform
spellingShingle	anti-spoofing countermeasure automatic speaker verification Constant-Q transform Liu, L. Yang, J. Study on Feature Complementarity of Statistics, Energy, and Principal Information for Spoofing Detection
description	10.1109/ACCESS.2020.3013066
author2	ELECTRICAL AND COMPUTER ENGINEERING
author_facet	ELECTRICAL AND COMPUTER ENGINEERING Liu, L. Yang, J.
format	Article
author	Liu, L. Yang, J.
author_sort	Liu, L.
title	Study on Feature Complementarity of Statistics, Energy, and Principal Information for Spoofing Detection
title_short	Study on Feature Complementarity of Statistics, Energy, and Principal Information for Spoofing Detection
title_full	Study on Feature Complementarity of Statistics, Energy, and Principal Information for Spoofing Detection
title_fullStr	Study on Feature Complementarity of Statistics, Energy, and Principal Information for Spoofing Detection
title_full_unstemmed	Study on Feature Complementarity of Statistics, Energy, and Principal Information for Spoofing Detection
title_sort	study on feature complementarity of statistics, energy, and principal information for spoofing detection
publisher	Institute of Electrical and Electronics Engineers Inc.
publishDate	2021
url	https://scholarbank.nus.edu.sg/handle/10635/196232
_version_	1821222464176259072

Study on Feature Complementarity of Statistics, Energy, and Principal Information for Spoofing Detection

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