MFCC[i]-min maximum) for each of the 12 MFCCs. MFCC[i]-mean 1≤i≤12 Extracting the 12 12 MFCCs: mfccMatrix = mfcc(12, lineData, fs); Calculating the MFCC statistics: MFCC[i]-max= max(mfccMatrix(:,i)); MFCC[i]-mean= mean(mfccMatrix(:,i)); MFCC was calculated using frame size of 20msec with 10msec overlap. 38 activlev_power activlev_power=activlev(lineData,fs); 39 activlev_db activlev_db=activlev(lineData,fs,'d') 40-50 F0min, F0max, F0 statistics: F0mean, F0range, F0std (Standard F0min= min(F0Array); deviation), F0var, F0max= max(F0Array); F0 skewness, F0mean= mean(F0Array); F0kurtosis F0range= range(F0Array); F0 quantiles: F0std= std(F0Array); %Standard quantile1, deviation F0median (q2), F0var= var(F0Array); quantile3. F0skew= skewness(F0Array); F0kurtosis= kurtosis(F0Array); quantileRes= quantile(F0Array,3); 51 gender Was added manually according to the speaker's gender Appendix 2: Sad Song Lyrics' Slide Figure : Sad Song Lyrics' Slide Appendix 3: Happy Song Lyrics' Slide Figure : Happy Song Lyrics' Slide Appendix 4: Classification results for individual speakers. Table : Classification results for individual speakers Parameter Set Emobase emo_IS09 MATLAB (48-51) (989-990) (385-386)
maximum) for each of the 12 MFCCs. Extracting the 12 12 MFCCs: mfccMatrix = mfcc(12, lineData, fs); Calculating the MFCC statistics: MFCC[i]-max= max(mfccMatrix(:,i)); MFCC[i]-mean= mean(mfccMatrix(:,i)); MFCC was calculated using frame size of 20msec with 10msec overlap. MFCC[i]-min MFCC[i]-mean 1≤i≤12 activlev_power=activlev(lineData,fs); activlev_db=activlev(lineData,fs,'d') activlev_power activlev_db 38 39 F0 statistics: F0min= min(F0Array); F0max= max(F0Array); F0mean= mean(F0Array); F0range= range(F0Array); F0std= std(F0Array); %Standard deviation F0var= var(F0Array); F0skew= skewness(F0Array); F0kurtosis= kurtosis(F0Array); quantileRes= quantile(F0Array,3); F0min, F0max, F0mean, F0range, F0std (Standard deviation), F0var, F0 skewness, F0kurtosis F0 quantiles: quantile1, F0median (q2), quantile3. 40-50 Was added manually according to the speaker's gender gender 51 Appendix 2: Sad Song Lyrics' Slide Figure : Sad Song Lyrics' Slide Appendix 3: Happy Song Lyrics' Slide Figure : Happy Song Lyrics' Slide Appendix 4: Classification results for individual speakers. Table : Classification results for individual speakers MATLAB (48-51) emo_IS09 (385-386) Emobase (989-990) Parameter Set