team many years of musical experience: his band The Fun Years’ newest album, god was like, no, made it into NPR’s ?00#J"%8,#C"%,+&(*(&I,#a+@+%8I,#C'"+<(O#P\`\I,#M(,!#L(!)0#)%&#b5!(*#J"5%&#c."*(#+%7"#)!#!'(75%K()*,9<".d9# ?7!(*#!'+,#>()5!+750#<50.+%)!+"%#"7#+%!(*(,!,;#!'(#L)!'#D"&#6*"F(<!#-),#7"*.(&9#='(#!().#-)%!(&#!"#!*K#)%&#)&&*(,,#!'(# 6*">0(.#"7#.5,+<#8(%*(#<0),,+$<)!+"%,9#R"-#&"(,#,".("%(#&(!(*.+%(#-')!#8(%*(#"7#.5,+<#)#,"%8#+,;#)%&#<)%#!')!# 0"8+<#>(#45)%!+$(&Z#J".(!'+%8#!')!#,"5%&,#.(!)0#!"#.(#.+8'!#,"5%&#."*(#')*&S*"<@#!"#,".("%(#(0,(9#:'(*(#+,#!'(# &+/+&+%8#0+%(Z#H,#!'(*(#)#&+/+&+%8#0+%(Z “Imagine a million points in space,” Lalit explains, “if each point is a song, and we want to cluster similar points, how would we do it?” ='(#!().#&(<+&(&#!"#$*,!#,(6)*)!(#)%&#<0),,+7K#,"%8,#>),(&#"%#e,(8.(%!#0(%8!';I#-'+<'#X)0+!#)&.+!,#'),#)#,".(-')!# ).>+85"5,#&($%+!+"%#,+%<(#+!I,#&(!(*.+%(&#>K#)%#)08"*+!'.#-*+!!(%#>K#!'(#7"5%&(*#"7#='(#1<'"#T(,!;#=*+,!)%#B(')%9# R(*(I,#!'(#"7$<+)0#&($%+!+"%O#E?#,(8.(%!#+,#)#,(!#"7#,"5%&#(%!+!+(,#c!K6+<)00K#5%&(*#)#,(<"%&d;#()<'#*(0)!+/(0K#5%+7"*.#+%# timbre and harmony. Segments are characterized by their perceptual onsets and duration in seconds, loudness (dB), pitch, and timbral content.” Whew! In looser terms, ‘segment length’ can almost be considered as a single beat in a song, regardless of what instrument it’s performed on. That means each song is essentially made of hundreds or thousands of segments, 6",,+>0K#."*(9#="#/+,5)0+](#!'+,#*(0)!+"%,'+6;#!'(#!().#&(/(0"6(&#-')!#)*(#<)00(&#'+,!"8*).,#7"*#()<'#,"%8#+%#!'(# L+00+"%#J"%8#A)!),(!9#1)<'#,"%8#8(!,#+!,#"-%#'+,!"8*).#-'+<'#60"!,#!'(#,(8.(%!#0(%8!'#)0"%8#!'(#>"!!".;#/(*,5,#'"-# often that segment length occurred (measured as a percent of total song segments) along the side. ='+,#+,#)<!5)00K#6*(!!K#<""0#&)!)#!"#,+7!#!'*"58'#)%&#0""@#7"*#,"%8,#!')!#')/(#,+.+0)*#'+,!"8*).,9#V"*#(N).60(;#)7!(*#)# few minutes of searching I found two really similar '+,!"8*).,#c)>"/(d;#)%&f#,5*6*+,(g#='(K#)<!5)00K# ,"5%&#6*(!!K#,+.+0)*#),#-(00g#A"%I!#>(0+(/(#.(Z#V+%&# them on youtube and listen for yourself! Sadly, classifying songs well isn’t usually this easy. Lalit refers to the histograms as a sort of ‘Techno-detector’: they can classify many dance/ !(<'%"h(0(<!*"%+<#,"%8,#-(00;#&5(#!"#!'(+*#*(6(!+!+/(# segments and strong beats, but they don’t do as
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Imagine a million points in space...if each point is a song, and we want to cluster similar points, how would we do it?
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