The long range features capture different aspects of long range information as they are computed from subbands and octave power spectrum in contrast to the conventional way from linear power spectrum. These novel features are combined with the other known features for improved detection of spoofing attacks.
This work explores several novel countermeasures based on long range acoustic features that are found to be effective for spoofing attack detection, ...
In this paper, we summarize the findings from the perspective of long range acoustic and deep features for spoof detection. We make a comprehensive analysis ...
proposed long-term and high-frequency features such as Inverted Constant-Q Coefficient (ICQC), Inverted Constant-Q Cepstral Coefficient (ICQCC), and Long-term ...
TL;DR: This work explores several novel countermeasures based on long range acoustic features that are found to be effective for spoofing attack detection, ...
During the post-challenge study, we further investigate the use of deep features that enhances the discriminative ability between gen- uine and spoofed speech.
Jan 29, 2022 · This work investigates two types of new acoustic features to improve the performance of spoofing attacks. The first features consist of two ...
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It is found that the high frequency IMFCC feature works more effectively for spoof detection than the MFCC based short-term features [38]. The above discussion ...
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For methods based on a single feature, in the ASVspoof 2019 challenge, the baselines are methods using either constant-Q cepstral co-efficients (CQCCs) or ...
Extracting discriminative features from speech data can improve the accuracy of detecting these attacks. In fact, a frame-wise weighted magnitude spectrum is ...
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