DiscontinuityDetector

streaming mode | Audio Problems category

Inputs

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

Outputs

  • discontinuityLocations (vector_real) - the index of the detected discontinuities (if any)
  • discontinuityAmplitudes (vector_real) - the peak values of the prediction error for the discontinuities (if any)

Parameters

  • detectionThreshold (real ∈ [1, ∞), default = 8) :
    'detectionThreshold' times the standard deviation plus the median of the frame is used as detection threshold
  • energyThreshold (real ∈ (-∞, ∞), default = -60) :
    threshold in dB to detect silent subframes
  • 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
  • kernelSize (integer ∈ [1, ∞), default = 7) :
    scalar giving the size of the median filter window. Must be odd
  • order (integer ∈ [1, ∞), default = 3) :
    scalar giving the number of LPCs to use
  • silenceThreshold (integer ∈ (-∞, 0), default = -50) :
    threshold to skip silent frames
  • subFrameSize (integer ∈ [1, ∞), default = 32) :
    size of the window used to compute silent subframes

Description

This algorithm uses LPC and some heuristics to detect discontinuities in an audio signal. [1].

References:
[1] Mühlbauer, R. (2010). Automatic Audio Defect Detection.

See also

DiscontinuityDetector (standard) LPC (standard) LPC (streaming)

Streaming algorithms

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