Matches in SemOpenAlex for { <https://semopenalex.org/work/W2890195043> ?p ?o ?g. }
Showing items 1 to 60 of
60
with 100 items per page.
- W2890195043 endingPage "81" @default.
- W2890195043 startingPage "71" @default.
- W2890195043 abstract "Automatic gender identification is one of the appealing fields of research with numerous practical applications. However, this issue has not gained its deserved attention, in particular in the presence of environmental noises. In this paper, using the empirical mode decomposition (EMD), some new and improved mel-frequency cepstral coefficient (MFCC) features are developed to address this problem. In the proposed approach, EMD is employed as a filter bank to decompose the speech signal into its frequency bands. Furthermore, another variant is also developed in which the complete ensemble EMD (CEEMD) supersedes the EMD. Moreover, support vector machine (SVM) with radial basis function (RBF) kernel is employed for classification. Performance of these methods is examined for gender identification, in noise-free environments as well as in the presence of various Gaussian and non-Gaussian noises. Simulation results show that, although with fewer features used, utilizing the improved EMD-based cepstral features in noiseless situations leads to the same accuracy as that of the original MFCCs. However, in noisy environments the proposed methods outperform the conventional way of extracting the MFCCs." @default.
- W2890195043 created "2018-09-27" @default.
- W2890195043 creator A5008949160 @default.
- W2890195043 creator A5041861083 @default.
- W2890195043 date "2018-06-30" @default.
- W2890195043 modified "2023-10-16" @default.
- W2890195043 title "Robust Gender Identification using EMD-Based Cepstral Features" @default.
- W2890195043 doi "https://doi.org/10.17576/apjitm-2018-0701-06" @default.
- W2890195043 hasPublicationYear "2018" @default.
- W2890195043 type Work @default.
- W2890195043 sameAs 2890195043 @default.
- W2890195043 citedByCount "3" @default.
- W2890195043 countsByYear W28901950432019 @default.
- W2890195043 countsByYear W28901950432022 @default.
- W2890195043 countsByYear W28901950432023 @default.
- W2890195043 crossrefType "journal-article" @default.
- W2890195043 hasAuthorship W2890195043A5008949160 @default.
- W2890195043 hasAuthorship W2890195043A5041861083 @default.
- W2890195043 hasBestOaLocation W28901950431 @default.
- W2890195043 hasConcept C116834253 @default.
- W2890195043 hasConcept C151989614 @default.
- W2890195043 hasConcept C153180895 @default.
- W2890195043 hasConcept C154945302 @default.
- W2890195043 hasConcept C28490314 @default.
- W2890195043 hasConcept C41008148 @default.
- W2890195043 hasConcept C52622490 @default.
- W2890195043 hasConcept C59822182 @default.
- W2890195043 hasConcept C86803240 @default.
- W2890195043 hasConcept C88485024 @default.
- W2890195043 hasConceptScore W2890195043C116834253 @default.
- W2890195043 hasConceptScore W2890195043C151989614 @default.
- W2890195043 hasConceptScore W2890195043C153180895 @default.
- W2890195043 hasConceptScore W2890195043C154945302 @default.
- W2890195043 hasConceptScore W2890195043C28490314 @default.
- W2890195043 hasConceptScore W2890195043C41008148 @default.
- W2890195043 hasConceptScore W2890195043C52622490 @default.
- W2890195043 hasConceptScore W2890195043C59822182 @default.
- W2890195043 hasConceptScore W2890195043C86803240 @default.
- W2890195043 hasConceptScore W2890195043C88485024 @default.
- W2890195043 hasIssue "01" @default.
- W2890195043 hasLocation W28901950431 @default.
- W2890195043 hasOpenAccess W2890195043 @default.
- W2890195043 hasPrimaryLocation W28901950431 @default.
- W2890195043 hasRelatedWork W1670591028 @default.
- W2890195043 hasRelatedWork W1847576989 @default.
- W2890195043 hasRelatedWork W1996938627 @default.
- W2890195043 hasRelatedWork W2069796675 @default.
- W2890195043 hasRelatedWork W2146247714 @default.
- W2890195043 hasRelatedWork W2157946794 @default.
- W2890195043 hasRelatedWork W2380536744 @default.
- W2890195043 hasRelatedWork W40124310 @default.
- W2890195043 hasRelatedWork W879529032 @default.
- W2890195043 hasRelatedWork W2276856808 @default.
- W2890195043 hasVolume "07" @default.
- W2890195043 isParatext "false" @default.
- W2890195043 isRetracted "false" @default.
- W2890195043 magId "2890195043" @default.
- W2890195043 workType "article" @default.