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

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

Internet

https://scholarbank.nus.edu.sg/handle/10635/196232

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