pyACA.FeatureSpectralFlatness Namespace Reference

Functions
	FeatureSpectralFlatness (X, f_s)
	computes the spectral flatness from the magnitude spectrum

Function Documentation

FeatureSpectralFlatness()

FeatureSpectralFlatness	(		X,
			f_s )

computes the spectral flatness from the magnitude spectrum

Parameters

X	spectrogram (dimension FFTLength X Observations)
f_s	sample rate of audio data

Returns

vtf: spectral flatness

Definition at line 12 of file FeatureSpectralFlatness.py.

def FeatureSpectralFlatness(X, f_s):
 
    norm = X.mean(axis=0, keepdims=True)
    norm[norm == 0] = 1
 
    XLog = np.log(X + 1e-20)
 
    vtf = np.exp(XLog.mean(axis=0, keepdims=True)) / norm
 
    vtf[X.min(axis=0, keepdims=True) == 0] = 0
    
    return np.squeeze(vtf, axis=0)