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Table 2 Features in the INTERSPEECH 2009 emotion challenge feature set

From: Paralinguistic singing attribute recognition using supervised machine learning for describing the classical tenor solo singing voice in vocal pedagogy

LLD (16*2)

Functionals (12)

(Δ) ZCR

Mean

(Δ) RMS energy

Standard deviation

(Δ) F0

Kurtosis, skewness

(Δ) HNR

Extremes: value, rel. position, range

(Δ) MFCC 1-12

Linear regression: offset, slope, MSE