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    Class NoiseRemovalModal

    Inheritance
    Object
    NoiseRemovalModal
    Inherited Members
    Object.Equals(Object)
    Object.Equals(Object, Object)
    Object.GetHashCode()
    Object.GetType()
    Object.MemberwiseClone()
    Object.ReferenceEquals(Object, Object)
    Object.ToString()
    Namespace: AudioAnalysisTools.DSP
    Assembly: AudioAnalysisTools.dll
    Syntax
    public static class NoiseRemovalModal

    Methods

    | Improve this Doc View Source

    CalculateBackgroundNoise(Double[])

    Calls the algorithm of Lamel et al, 1981. IMPORTANT: The passed signal envelope values are absolute amplitude values derived from the framed waveform. These are converted to decibels before passing to the LAMEL method. NOTE: The returned background noise value ignores the SD part of the Gaussian noise model.

    Declaration
    public static double CalculateBackgroundNoise(double[] signalEnvelope)
    Parameters
    Type Name Description
    Double[] signalEnvelope

    Amplitude values.

    Returns
    Type Description
    Double

    Modal noise value in decibels.

    | Improve this Doc View Source

    CalculateNoiseUsingLamelsAlgorithm(Double[], out Double, out Double, out Double, out Double)

    Implements the "Adaptive Level Equalisatsion" algorithm of Lamel et al, 1981 - with modifications for our signals. Units are assumed to be decibels. Returns the min and max frame dB AND the estimate MODAL or BACKGROUND noise for the signal array IF This modal noise is subtracted from each frame dB, the effect is to set set average background noise level = 0 dB. The algorithm is described in Lamel et al, 1981. USED TO SEGMENT A RECORDING INTO SILENCE AND VOCALISATION NOTE: noiseThreshold is passed as decibels. Original Lamel algorithm ONLY SEARCHES in range min to 10dB above min.

    This method debugged on 7 Aug 2018 using following command line arguments: audio2csv Y:\TheNatureConservency\Myanmar\20180517\site112\2018_02_14_Bar5\20180214_Bar5\20180214_101121_Bar5.wav Towsey.Acoustic.yml C:\Temp... -m True.

    Declaration
    public static void CalculateNoiseUsingLamelsAlgorithm(double[] dBarray, out double minDb, out double maxDb, out double modeNoise, out double sdNoise)
    Parameters
    Type Name Description
    Double[] dBarray

    signal in decibel values.

    Double minDb

    minimum value in the passed array of decibel values.

    Double maxDb

    maximum value in the passed array of decibel values.

    Double modeNoise

    modal or background noise in decibels.

    Double sdNoise

    estimated sd of the noies - assuming noise to be guassian.

    | Improve this Doc View Source

    ModalNoiseRemovalAndGetSonograms(Double[,], TimeSpan, TimeSpan, Int32, Int32)

    This method produces four spectrograms using four different values of neighbour hood decibel threshold. It can be used for test purposes.

    Declaration
    public static Image ModalNoiseRemovalAndGetSonograms(double[, ] deciBelSpectrogram, TimeSpan xAxisInterval, TimeSpan stepDuration, int nyquist, int hzInterval)
    Parameters
    Type Name Description
    Double[,] deciBelSpectrogram

    the noisy decibel spectrogram.

    TimeSpan xAxisInterval

    x-axis tic interval.

    TimeSpan stepDuration

    the x-axis times scale.

    Int32 nyquist

    max freq value.

    Int32 hzInterval

    y-axis frequency scale.

    Returns
    Type Description
    SixLabors.ImageSharp.Image

    Image containing four sepctrograms.

    • Improve this Doc
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    In This Article
    • Methods
      • CalculateBackgroundNoise(Double[])
      • CalculateNoiseUsingLamelsAlgorithm(Double[], out Double, out Double, out Double, out Double)
      • ModalNoiseRemovalAndGetSonograms(Double[,], TimeSpan, TimeSpan, Int32, Int32)
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