Matches in SemOpenAlex for { <https://semopenalex.org/work/W4312585504> ?p ?o ?g. }
Showing items 1 to 92 of
92
with 100 items per page.
- W4312585504 abstract "Playing a pre-recorded speech to gain illegal access to Automatic Speaker Verification (ASV) system is one of the easiest attacks to execute but difficult to detect. Such attacks are called as replay attacks. Designing robust ASV systems from such attacks motivates to explore signal processing framework for Spoof Speech Detection (SSD). This paper exploits excitation source-based information in the form of Linear Frequency Residual Cepstral Coefficients (LFRCC) feature set for SSD task. In the source-filter model of speech production, the excitation source is also known to contain speaker-specific information. In this context, the residual obtained from Linear Prediction (LP) of speech is exploited in cepstral domain to detect replay attack. Improvements in results are obtained by choosing appropriate order of LP, as the order of LP controls the amount of information carried by the residual. Experiments performed on ASVSpoof 2019 Physical Access (PA) dataset using Gaussian Mixture Model (GMM) and Convolutional Neural Network (CNN) show that the optimal LP order is 8 which gives EER on the evaluation set as 17.30% and 15.21% using GMM and CNN classifiers, respectively." @default.
- W4312585504 created "2023-01-05" @default.
- W4312585504 creator A5044282995 @default.
- W4312585504 creator A5061653694 @default.
- W4312585504 date "2022-08-29" @default.
- W4312585504 modified "2023-09-27" @default.
- W4312585504 title "Linear Frequency Residual Cepstral Features for Replay Spoof Detection on ASVSpoof 2019" @default.
- W4312585504 cites W1966264494 @default.
- W4312585504 cites W1989337816 @default.
- W4312585504 cites W1995966271 @default.
- W4312585504 cites W2074783531 @default.
- W4312585504 cites W2100649345 @default.
- W4312585504 cites W2103250316 @default.
- W4312585504 cites W2112164460 @default.
- W4312585504 cites W2118209063 @default.
- W4312585504 cites W2123299109 @default.
- W4312585504 cites W2127825510 @default.
- W4312585504 cites W2129142580 @default.
- W4312585504 cites W2131703294 @default.
- W4312585504 cites W2745896134 @default.
- W4312585504 cites W2765289790 @default.
- W4312585504 cites W2889513378 @default.
- W4312585504 cites W2947237619 @default.
- W4312585504 doi "https://doi.org/10.23919/eusipco55093.2022.9909913" @default.
- W4312585504 hasPublicationYear "2022" @default.
- W4312585504 type Work @default.
- W4312585504 citedByCount "0" @default.
- W4312585504 crossrefType "proceedings-article" @default.
- W4312585504 hasAuthorship W4312585504A5044282995 @default.
- W4312585504 hasAuthorship W4312585504A5061653694 @default.
- W4312585504 hasConcept C11413529 @default.
- W4312585504 hasConcept C11560541 @default.
- W4312585504 hasConcept C131109320 @default.
- W4312585504 hasConcept C133892786 @default.
- W4312585504 hasConcept C148417208 @default.
- W4312585504 hasConcept C151730666 @default.
- W4312585504 hasConcept C151989614 @default.
- W4312585504 hasConcept C153180895 @default.
- W4312585504 hasConcept C154945302 @default.
- W4312585504 hasConcept C155512373 @default.
- W4312585504 hasConcept C177264268 @default.
- W4312585504 hasConcept C19118579 @default.
- W4312585504 hasConcept C199360897 @default.
- W4312585504 hasConcept C2779343474 @default.
- W4312585504 hasConcept C28490314 @default.
- W4312585504 hasConcept C31972630 @default.
- W4312585504 hasConcept C38652104 @default.
- W4312585504 hasConcept C41008148 @default.
- W4312585504 hasConcept C52622490 @default.
- W4312585504 hasConcept C61328038 @default.
- W4312585504 hasConcept C81363708 @default.
- W4312585504 hasConcept C86803240 @default.
- W4312585504 hasConcept C88485024 @default.
- W4312585504 hasConceptScore W4312585504C11413529 @default.
- W4312585504 hasConceptScore W4312585504C11560541 @default.
- W4312585504 hasConceptScore W4312585504C131109320 @default.
- W4312585504 hasConceptScore W4312585504C133892786 @default.
- W4312585504 hasConceptScore W4312585504C148417208 @default.
- W4312585504 hasConceptScore W4312585504C151730666 @default.
- W4312585504 hasConceptScore W4312585504C151989614 @default.
- W4312585504 hasConceptScore W4312585504C153180895 @default.
- W4312585504 hasConceptScore W4312585504C154945302 @default.
- W4312585504 hasConceptScore W4312585504C155512373 @default.
- W4312585504 hasConceptScore W4312585504C177264268 @default.
- W4312585504 hasConceptScore W4312585504C19118579 @default.
- W4312585504 hasConceptScore W4312585504C199360897 @default.
- W4312585504 hasConceptScore W4312585504C2779343474 @default.
- W4312585504 hasConceptScore W4312585504C28490314 @default.
- W4312585504 hasConceptScore W4312585504C31972630 @default.
- W4312585504 hasConceptScore W4312585504C38652104 @default.
- W4312585504 hasConceptScore W4312585504C41008148 @default.
- W4312585504 hasConceptScore W4312585504C52622490 @default.
- W4312585504 hasConceptScore W4312585504C61328038 @default.
- W4312585504 hasConceptScore W4312585504C81363708 @default.
- W4312585504 hasConceptScore W4312585504C86803240 @default.
- W4312585504 hasConceptScore W4312585504C88485024 @default.
- W4312585504 hasLocation W43125855041 @default.
- W4312585504 hasOpenAccess W4312585504 @default.
- W4312585504 hasPrimaryLocation W43125855041 @default.
- W4312585504 hasRelatedWork W132353998 @default.
- W4312585504 hasRelatedWork W1520348921 @default.
- W4312585504 hasRelatedWork W2028083640 @default.
- W4312585504 hasRelatedWork W2189089965 @default.
- W4312585504 hasRelatedWork W2380849574 @default.
- W4312585504 hasRelatedWork W2480869102 @default.
- W4312585504 hasRelatedWork W2538883163 @default.
- W4312585504 hasRelatedWork W2793383796 @default.
- W4312585504 hasRelatedWork W4312585504 @default.
- W4312585504 hasRelatedWork W2416972381 @default.
- W4312585504 isParatext "false" @default.
- W4312585504 isRetracted "false" @default.
- W4312585504 workType "article" @default.