A Quest for Formant-Based Compact Nonuniform Trapezoidal Filter Banks for Speech Processing with VGG16

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dc.authoridALTUN, Yusuf/0000-0002-2099-0959en_US
dc.authorscopusid55807221400en_US
dc.authorscopusid25031391400en_US
dc.authorwosidALTUN, Yusuf/AAA-9929-2020en_US
dc.contributor.authorParlak, Cevahir
dc.contributor.authorAltun, Yusuf
dc.date.accessioned2024-08-23T16:07:17Z
dc.date.available2024-08-23T16:07:17Z
dc.date.issued2024en_US
dc.departmentDüzce Üniversitesien_US
dc.description.abstractIn this text, we discuss the filter banks used for speech analysis and propose a novel filter bank for speech processing applications. Filter banks are building blocks of speech processing applications. Multiple filter strategies have been proposed, including Mel, PLP, Seneff, Lyon, and Gammatone filters. MFCC is a transformed version of Mel filters and is still a state-of-the-art method for speech recognition applications. However, 40 years after their debut, time is running out to launch new structures as novel speech features. The proposed acoustic filter banks (AFB) are innovative alternatives to dethrone Mel filters, PLP filters, and MFCC features. Foundations of AFB filters are based on the formant regions of vowels and consonants. In this study, we pioneer an acoustic filter bank comprising 11 frequency regions and conduct experiments using the VGG16 model on the TIMIT and Speech Command V2 datasets. The outcomes of the study concretely indicate that MFCC, Mel, and PLP filters can effectively be replaced with novel AFB filter bank features.en_US
dc.description.sponsorshipDAS:Data are available at the following site: https://github.com/cevparlak/AFB-Filters.en_US
dc.identifier.doi10.1007/s00034-024-02794-z
dc.identifier.issn0278-081X
dc.identifier.issn1531-5878
dc.identifier.scopus2-s2.0-85200054858en_US
dc.identifier.scopusqualityQ2en_US
dc.identifier.urihttps://doi.org/10.1007/s00034-024-02794-z
dc.identifier.urihttps://hdl.handle.net/20.500.12684/14562
dc.identifier.wosWOS:001281629000005en_US
dc.identifier.wosqualityN/Aen_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.language.isoenen_US
dc.publisherSpringer Birkhauseren_US
dc.relation.ispartofCircuits Systems and Signal Processingen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectSpeech processingen_US
dc.subjectMFCCen_US
dc.subjectMel filtersen_US
dc.subjectPLPen_US
dc.subjectFilter banksen_US
dc.subjectConvolutional neural networksen_US
dc.subjectDiscriminationen_US
dc.subjectRecognitionen_US
dc.subjectFrequencyen_US
dc.subjectLoudnessen_US
dc.subjectPerceptionen_US
dc.subjectModelen_US
dc.titleA Quest for Formant-Based Compact Nonuniform Trapezoidal Filter Banks for Speech Processing with VGG16en_US
dc.typeArticleen_US

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