ClickDetector¶

streaming mode | Audio Problems category

Inputs¶

frame (vector_real) - the input frame (must be non-empty)

Outputs¶

starts (vector_real) - starting indexes of the clicks

ends (vector_real) - ending indexes of the clicks

Parameters¶

detectionThreshold (real ∈ (-∞, ∞), default = 30) :
‘detectionThreshold’ the threshold is based on the instant power of the noisy excitation signal plus detectionThreshold dBs

frameSize (integer ∈ (0, ∞), default = 512) :
the expected size of the input audio signal (this is an optional parameter to optimize memory allocation)

hopSize (integer ∈ (0, ∞), default = 256) :
hop size used for the analysis. This parameter must be set correctly as it cannot be obtained from the input data

order (integer ∈ [1, ∞), default = 12) :
scalar giving the number of LPCs to use

powerEstimationThreshold (integer ∈ (0, ∞), default = 10) :
the noisy excitation is clipped to ‘powerEstimationThreshold’ times its median.

sampleRate (real ∈ (0, ∞), default = 44100) :
sample rate used for the analysis

silenceThreshold (integer ∈ (-∞, 0), default = -50) :
threshold to skip silent frames

Description¶

This algorithm detects the locations of impulsive noises (clicks and pops) on the input audio frame. It relies on LPC coefficients to inverse-filter the audio in order to attenuate the stationary part and enhance the prediction error (or excitation noise)[1]. After this, a matched filter is used to further enhance the impulsive peaks. The detection threshold is obtained from a robust estimate of the excitation noise power [2] plus a parametric gain value.

References: [1] Vaseghi, S. V., & Rayner, P. J. W. (1990). Detection and suppression of impulsive noise in speech communication systems. IEE Proceedings I (Communications, Speech and Vision), 137(1), 38-46. [2] Vaseghi, S. V. (2008). Advanced digital signal processing and noise reduction. John Wiley & Sons. Page 355

Source code¶

C++ source code

C++ header file