An Experimental Analysis on Mapping Strategies for Cepstral Coefficients Multi-projection in Voice Spoofing Detection Problem

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Autor(es): dc.contributorUniversidade Estadual Paulista (UNESP)-
Autor(es): dc.contributorUniversidade Federal de São Carlos (UFSCar)-
Autor(es): dc.creatorContreras, Rodrigo Colnago-
Autor(es): dc.creatorViana, Monique Simplicio-
Autor(es): dc.creatorGuido, Rodrigo Capobianco-
Data de aceite: dc.date.accessioned2025-08-21T22:07:15Z-
Data de disponibilização: dc.date.available2025-08-21T22:07:15Z-
Data de envio: dc.date.issued2025-04-29-
Data de envio: dc.date.issued2022-12-31-
Fonte completa do material: dc.identifierhttp://dx.doi.org/10.1007/978-3-031-42508-0_27-
Fonte completa do material: dc.identifierhttps://hdl.handle.net/11449/298465-
Fonte: dc.identifier.urihttp://educapes.capes.gov.br/handle/11449/298465-
Descrição: dc.descriptionWith the cheapening of certain electronic devices, the use of biometric user authentication systems is becoming increasingly common. In particular, the use of microphones for user recognition is a reality for many people in the most common tasks, such as accessing their own cell phone or even their own bank account at an ATM. However, recent works demonstrate that the practice of frauds such as the improper presentation of a recording of an authentic user to the recognition system can pose a threat to the security of these systems. As a countermeasure to such practices, liveness detection techniques have emerged with the intention of ensuring that the signal presented to the system comes from the human vocal tract or from a recording. Techniques based on the analysis of spectrograms, which consist of a matrix representation of the relationship between the frequency of the signal and its temporal duration, are widely used in this topic. However, little study has been carried out on the use of mapping operators on such representations in order to make feature vectors belonging to Rn and, consequently, facilitate its definition and use in most binary classifiers. In this work, we perform an experimental analysis on different mapping operators applied in the construction of handcrafted features on spectrograms calculated by various techniques. In addition, we also analyze the effect of fusing and projecting such features. Finally, we were able to observe that, with the use of the proposed material, which consists of a tool of simple definition and low complexity, we obtained competitive results to those presented by the baselines of the theme.-
Descrição: dc.descriptionInstitute of Biosciences Letters and Exact Sciences São Paulo State University, SP-
Descrição: dc.descriptionDepartment of Computing Federal University of São Carlos, SP-
Descrição: dc.descriptionInstitute of Biosciences Letters and Exact Sciences São Paulo State University, SP-
Formato: dc.format291-306-
Idioma: dc.languageen-
Relação: dc.relationLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)-
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Palavras-chave: dc.subjectLiveness Detection-
Palavras-chave: dc.subjectPattern Recognition-
Palavras-chave: dc.subjectSpectrograms-
Palavras-chave: dc.subjectSpoofing Detection-
Palavras-chave: dc.subjectVoice Authentication System-
Título: dc.titleAn Experimental Analysis on Mapping Strategies for Cepstral Coefficients Multi-projection in Voice Spoofing Detection Problem-
Tipo de arquivo: dc.typeaula digital-
Aparece nas coleções:Repositório Institucional - Unesp

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