Class BirdClefExperiment1

This class is experimental work on the Bird50 dataset provided by Herve Glotin. The work was started in Toulon (February 2016) and continued after my return in March 2016. The bird50 dataset is a randomly selected subset of the 2014 BirdClef 500 data set. The 2014 competition was won by Dan Stowell (QMUL). The 2015 competition containing 999 bird call recordings was won by Mario Lessek (Berlin)

This class prepares species representations of bird calls by summing or averaging the instance representations. The representation consists of the concatenation of a set of spectra. There are currently five spectra derived from the spectra indices: SPT, RHZ, RVT, RPS and RNG. Each spectrum can be reduced from 256 values to say 160 by max pooling the top end of the spctrum. NOTE: MEL-scale DOES NOT work for birds because the dominant activity for birds is around 2-4 kHz. The MEL-scale effectively obliterates this band of the spectrum.

Inheritance
Object
BirdClefExperiment1
Inherited Members
Namespace: AudioAnalysisTools
Assembly: AudioAnalysisTools.dll
Syntax
public static class BirdClefExperiment1

Methods

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CalculateAccuracy(BirdClefExperiment1.Arguments, BirdClefExperiment1.Output)

Produce a CONFUSION MATRIX and a RANK ORDER MATRIX.

Declaration
public static void CalculateAccuracy(BirdClefExperiment1.Arguments arguments, BirdClefExperiment1.Output output)
Parameters
Type Name Description
BirdClefExperiment1.Arguments arguments
BirdClefExperiment1.Output output
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CalculateSimilarityScores(BirdClefExperiment1.Arguments, BirdClefExperiment1.Output)

This done using Cosine similarity. Could also use Euclidian distance.

Declaration
public static void CalculateSimilarityScores(BirdClefExperiment1.Arguments arguments, BirdClefExperiment1.Output output)
Parameters
Type Name Description
BirdClefExperiment1.Arguments arguments
BirdClefExperiment1.Output output
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ConstructWekaDatasets(BirdClefExperiment1.Arguments, BirdClefExperiment1.Output)

Construct datasets for WEKA machine learning.

Declaration
public static void ConstructWekaDatasets(BirdClefExperiment1.Arguments arguments, BirdClefExperiment1.Output output)
Parameters
Type Name Description
BirdClefExperiment1.Arguments arguments
BirdClefExperiment1.Output output
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DrawSpeciesImages(BirdClefExperiment1.Arguments, BirdClefExperiment1.Output)

Declaration
public static void DrawSpeciesImages(BirdClefExperiment1.Arguments arguments, BirdClefExperiment1.Output output)
Parameters
Type Name Description
BirdClefExperiment1.Arguments arguments
BirdClefExperiment1.Output output
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Execute(BirdClefExperiment1.Arguments)

Declaration
public static void Execute(BirdClefExperiment1.Arguments arguments)
Parameters
Type Name Description
BirdClefExperiment1.Arguments arguments
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ExoticMaxPoolingMatrixColumns(Double[,], Int32)

Declaration
public static double[, ] ExoticMaxPoolingMatrixColumns(double[, ] matrix, int reducedColCount)
Parameters
Type Name Description
Double[,] matrix
Int32 reducedColCount
Returns
Type Description
Double[,]
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GetInstanceRepresentations(BirdClefExperiment1.Arguments)

Declaration
public static BirdClefExperiment1.Output GetInstanceRepresentations(BirdClefExperiment1.Arguments arguments)
Parameters
Type Name Description
BirdClefExperiment1.Arguments arguments
Returns
Type Description
BirdClefExperiment1.Output
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GetSpeciesRepresentations(BirdClefExperiment1.Arguments, BirdClefExperiment1.Output)

Declaration
public static void GetSpeciesRepresentations(BirdClefExperiment1.Arguments arguments, BirdClefExperiment1.Output output)
Parameters
Type Name Description
BirdClefExperiment1.Arguments arguments
BirdClefExperiment1.Output output
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MaxPoolingLimited(Double[], Int32, Int32, Int32, Int32)

reduces the dimensionality of a vector by max pooling. Used specifically for representation of spectral frames in Herve Glotin work.

Declaration
public static double[] MaxPoolingLimited(double[] vector, int startBin, int maxOf2Bin, int maxOf3Bin, int endBin)
Parameters
Type Name Description
Double[] vector
Int32 startBin
Int32 maxOf2Bin
Int32 maxOf3Bin
Int32 endBin
Returns
Type Description
Double[]
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MaxPoolingLimited(Double[,], Int32, Int32, Int32, Int32, Int32)

Declaration
public static double[, ] MaxPoolingLimited(double[, ] M, int startBin, int maxOf2Bin, int maxOf3Bin, int endBin, int reducedBinCount)
Parameters
Type Name Description
Double[,] M
Int32 startBin
Int32 maxOf2Bin
Int32 maxOf3Bin
Int32 endBin
Int32 reducedBinCount
Returns
Type Description
Double[,]
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MaxPoolMatrixColumns(Double[,], Int32)

Declaration
public static double[, ] MaxPoolMatrixColumns(double[, ] matrix, int reducedColCount)
Parameters
Type Name Description
Double[,] matrix
Int32 reducedColCount
Returns
Type Description
Double[,]
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MaxPoolMatrixColumnsByFactor(Double[,], Int32)

Declaration
public static double[, ] MaxPoolMatrixColumnsByFactor(double[, ] matrix, int factor)
Parameters
Type Name Description
Double[,] matrix
Int32 factor
Returns
Type Description
Double[,]
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Normalise(BirdClefExperiment1.Arguments, BirdClefExperiment1.Output)

Normalisation and Concatentation of spectra: can be done in three ways ie (i) Unit length (ii) Unit Area (iii) Unit bounds i.e. 0,1.

Declaration
public static void Normalise(BirdClefExperiment1.Arguments arguments, BirdClefExperiment1.Output output)
Parameters
Type Name Description
BirdClefExperiment1.Arguments arguments
BirdClefExperiment1.Output output
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NormaliseVector(Double[], Double[])

Normalises the parts of a concatenated vector separately. Finally does a unit length norm in prepration for a dot product to give cosine similairty.

Declaration
public static double[] NormaliseVector(double[] ipVector, double[] weights)
Parameters
Type Name Description
Double[] ipVector
Double[] weights
Returns
Type Description
Double[]
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ReadGlotinsSpeciesLabelFile(String, Int32, out String[], out Int32[])

Declaration
public static void ReadGlotinsSpeciesLabelFile(string speciesLabelsFile, int count, out string[] fileID, out int[] speciesID)
Parameters
Type Name Description
String speciesLabelsFile
Int32 count
String[] fileID
Int32[] speciesID
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ReduceMatrixColumns(Double[,], Int32, Int32)

Declaration
public static double[, ] ReduceMatrixColumns(double[, ] matrix, int minBin, int maxBin)
Parameters
Type Name Description
Double[,] matrix
Int32 minBin
Int32 maxBin
Returns
Type Description
Double[,]
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WriteDataTODOTODOTODOTODO()

Declaration
public static void WriteDataTODOTODOTODOTODO()