pyACA.FeatureTimeStd Namespace Reference

computes the standard deviation of a time domain signal More...

Functions
	FeatureTimeStd (x, iBlockLength, iHopLength, f_s)
	computes the standard deviation of a time domain signal

Detailed Description

computes the standard deviation of a time domain signal

Args: x: audio signal iBlockLength: block length in samples iHopLength: hop length in samples f_s: sample rate of audio data (unused)

Returns: vstd standard deviation t time stamp

Function Documentation

FeatureTimeStd()

FeatureTimeStd	(		x,
			iBlockLength,
			iHopLength,
			f_s )

computes the standard deviation of a time domain signal

Parameters

x	array with floating point audio data (dimension samples x channels)
iBlockLength	block length in samples
iHopLength	hop length in samples
f_s	sample rate of audio data

Returns

vstd: standard deviation

t: time stamp

Definition at line 30 of file FeatureTimeStd.py.

def FeatureTimeStd(x, iBlockLength, iHopLength, f_s):
 
    # create blocks
    xBlocks, t = pyACA.ToolBlockAudio(x, iBlockLength, iHopLength, f_s)
 
    # number of results
    iNumOfBlocks = xBlocks.shape[0]
 
    # allocate memory
    vstd = np.zeros(iNumOfBlocks)
 
    for n, block in enumerate(xBlocks):
        # calculate the rms
        vstd[n] = np.std(block)
 
    return vstd, t