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ARCHIVESOFACOUSTICS Vol. 42,No. 2, pp. 213-222(2017)Copyrightc⃝2017by PAN-IPPT DOI:10. 1515/aoa-2017-0024 Automatic Genre Classification Using Fractional Fourier Tr ansform Based Mel Frequency Cepstral Coefficientand Timbral Feature s Daulappa Guranna BHALKE,Betsy RAJESH,Dattatraya Shankar BORMANE Deptartmentof Electronic... |
214 Archivesof Acoustics-Volume42,Number2,2017 havebeenemployedforthepurposeofclassification. Thesedevotionalandpatrioticmusicalcompositions havebeencomposedonclassicalragas(melodies)and tala(rhythm),mostlysungasasolo(Vedanayagam Sastriar,2011). Tamilfolk music is knownforthe tala intrica-ciesandtheancientfolkmusicwasba... |
D. G. Bhalke,B. Rajesh,D. S. Bormane-Automatic Genre Class ification Using Fractional Fourier Transform... 215 beenobservedthat Timbraland MFCCfeatureshave madeasignificantcontributiontogenreclassification (Bhalkeetal.,2014;Fuetal.,2011;Ghosaletal., 2012). Inaddition,Fractional Fourier Transformmakes useofchirpdecompositi... |
216 Archivesof Acoustics-Volume42,Number2,2017 iousspectralfeatureshavebeenextractedfromthe spectrum. Spectral Centroid: The Spectral Centroidgivesthe measureofthebrightnessofasound. Thecentroid ofaspectralframecanbedefinedastheaveragefre-quencyweightedbyamplitudes,anddividingitbythe sumoftheamplitudesandcanbegivenby Sp... |
D. G. Bhalke,B. Rajesh,D. S. Bormane-Automatic Genre Class ification Using Fractional Fourier Transform... 217 where Kα(t,u)isatransformationkernelandisgiven by Eq. (6) Kα(t,u)= (√ 1-jcotα 2π) ej((t2+u2)/2)cotα-jutcscα, ifαisnotmultipleof 2π, δ(t-u),ifαismultipleof 2π, δ(t+u),ifα+πismultipleof 2π. (6) The Fr... |
218 Archivesof Acoustics-Volume42,Number2,2017 wherexiandyiaretwoinstancesandthedistancebe-tweenthemisdefinedby d(xi,yi). Thestandard Eu-clidean,cityblockand Chebychevdistancesaregiven by Eqs. (13),(14)and(15),respectively. The KNN classifierisaverysimplealgorithmthatworkswellfor realworlddatawheretheclassesmaybelinearly... |
D. G. Bhalke,B. Rajesh,D. S. Bormane-Automatic Genre Class ification Using Fractional Fourier Transform... 219 Fig. 6. Spectral Fluxvaluesfor Classicaland Folkgenres. Fig. 7. Spectral Skewnessfor Classicaland Folkgenres. Fig. 8. Spectral Kurtosisvaluesfor Classical and Folkgenres. Fig. 9. Fractional MFCCvaluesfor Classi... |
220 Archivesof Acoustics-Volume42,Number2,2017 (2)Western Genres: Fromtheexperimentation,it wasobservedthatthe Fr FTbased MFCCwhen combinedwithotherspectralfeaturessignificantly increasedtheaccuracyofwesterngenresaswell. Butitwasalsoobservedthatthefeaturecombi-nationforaccurateclassificationofwesterngenres wasdifferentfro... |
D. G. Bhalke,B. Rajesh,D. S. Bormane-Automatic Genre Class ification Using Fractional Fourier Transform... 221 References 1. Ashok Narayanan V., Prabhu K. M. M. (2003), The Fractional Fourier Transform:theory,implemen-tationand error analysis, Microprocessors and Mi-crosystems,27, 10, 511-521, doi: 10. 1016/S0141-9331(0... |
222 Archivesof Acoustics-Volume42,Number2,2017 istics,IEEETransactionson Audio,Speech,and Lan-guage Processing,20,6,1759-1770. 24. Scaringella N.,Zoia G.,Mlynek D. (2006),Auto-maticgenreclassificationofmusiccontent:asurvey, IEEESignal Processing Magazine, 23,2,133-141. 25. Shao X., Maddage M. C., Changsheng Xu, Kankanha... |
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