NoiseBurstDetector

streaming mode | Audio Problems category

Inputs

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

Outputs

  • indexes (vector_real) - indexes of the noisy samples

Parameters

  • alpha (real ∈ (0, 1), default = 0.9) :

    alpha coefficient for the Exponential Moving Average threshold estimation.

  • silenceThreshold (integer ∈ (-∞, 0), default = -50) :

    threshold to skip silent frames

  • threshold (integer ∈ (-∞, ∞), default = 8) :

    factor to control the dynamic theshold

Description

This algorithm detects noise bursts in the waveform by thresholding the peaks of the second derivative. The threshold is computed using an Exponential Moving Average filter over the RMS of the second derivative of the input frame.

Source code

See also

NoiseBurstDetector (standard) RMS (standard) RMS (streaming)