Importance of Analytic Phase of the Speech Signal for Detecting Replay Attacks in Automatic Speaker Verification Systems

Rafi B, Shaik Mohammad and Kodukula, Sri Rama Murty (2019) Importance of Analytic Phase of the Speech Signal for Detecting Replay Attacks in Automatic Speaker Verification Systems. In: 44th IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP, 12-17 May 2019, Brighton, United Kingdom.

Full text not available from this repository. (Request a copy)

Abstract

In this paper, the importance of analytic phase of the speech signal in automatic speaker verification systems is demonstrated in the context of replay spoof attacks. In order to accurately detect the replay spoof attacks, effective feature representations of speech signals are required to capture the distortion introduced due to the intermediate playback/recording devices, which is convolutive in nature. Since the convolutional distortion in time-domain translates to additive distortion in the phase-domain, we propose to use IFCC features extracted from the analytic phase of the speech signal. The IFCC features contain information from both clean speech and distortion components. The clean speech component has to be subtracted in order to highlight the distortion component introduced by the playback/recording devices. In this work, a dictionary learned from the IFCCs extracted from clean speech data is used to remove the clean speech component. The residual distortion component is used as a feature to build binary classifier for replay spoof detection. The proposed phase-based features delivered a 9% absolute improvement over the baseline system built using magnitude-based CQCC features.

[error in script]
IITH Creators:
IITH CreatorsORCiD
Kodukula, Sri Rama Murtyhttps://orcid.org/0000-0002-6355-5287
Item Type: Conference or Workshop Item (Paper)
Uncontrolled Keywords: Convolutional distortion, dictionary learning, Gaussian mixture models, IFCC features
Subjects: Electrical Engineering
Divisions: Department of Electrical Engineering
Depositing User: Team Library
Date Deposited: 29 Jul 2019 05:21
Last Modified: 29 Jul 2019 05:21
URI: http://raiith.iith.ac.in/id/eprint/5824
Publisher URL: http://doi.org/10.1109/ICASSP.2019.8683500
Related URLs:

Actions (login required)

View Item View Item
Statistics for RAIITH ePrint 5824 Statistics for this ePrint Item