Class DataProcessing

Inheritance

Object

DataProcessing

Inherited Members

Object.Equals(Object)

Object.Equals(Object, Object)

Object.GetHashCode()

Object.GetType()

Object.MemberwiseClone()

Object.ReferenceEquals(Object, Object)

Object.ToString()

Namespace: AudioAnalysisTools.ContentDescriptionTools

Assembly: AudioAnalysisTools.dll

Syntax

public static class DataProcessing

Methods

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ApplyBandPass(Dictionary<String, Double[]>, Int32, Int32)

Declaration

public static Dictionary<string, double[]> ApplyBandPass(Dictionary<string, double[]> indices, int bottomBin, int topBin)

Parameters

Type	Name	Description
Dictionary<String, Double[]>	indices
Int32	bottomBin
Int32	topBin

Returns

Type	Description
Dictionary<String, Double[]>

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AverageIndicesInDictionary(Dictionary<String, Double[]>)

Declaration

public static Dictionary<string, double> AverageIndicesInDictionary(Dictionary<string, double[]> dictionary)

Parameters

Type	Name	Description
Dictionary<String, Double[]>	dictionary

Returns

Type	Description
Dictionary<String, Double>

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AverageIndicesOverMinutes(Dictionary<String, Double[,]>, Int32, Int32)

Declaration

public static Dictionary<string, double[]> AverageIndicesOverMinutes(Dictionary<string, double[, ]> allIndices, int startRowId, int endRowId)

Parameters

Type	Name	Description
Dictionary<String, Double[,]>	allIndices
Int32	startRowId
Int32	endRowId

Returns

Type	Description
Dictionary<String, Double[]>

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ConvertArrayOfFunctionalTemplatesToDictionary(FunctionalTemplate[])

Converts an array of templates to dictionary.

Declaration

public static Dictionary<string, FunctionalTemplate> ConvertArrayOfFunctionalTemplatesToDictionary(FunctionalTemplate[] array)

Parameters

Type	Name	Description
FunctionalTemplate[]	array	An array of templates.

Returns

Type	Description
Dictionary<String, FunctionalTemplate>	A dictionary of templates.

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ConvertArraysToPlots(Dictionary<String, Double[]>, Double)

Declaration

public static Dictionary<string, Plot> ConvertArraysToPlots(Dictionary<string, double[]> dictOfArrays, double threshold)

Parameters

Type	Name	Description
Dictionary<String, Double[]>	dictOfArrays
Double	threshold

Returns

Type	Description
Dictionary<String, Plot>

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ConvertDictionaryOfIndicesToMatrix(Dictionary<String, Double[]>)

THis method can be used for debugging purposes.

Declaration

public static double[, ] ConvertDictionaryOfIndicesToMatrix(Dictionary<string, double[]> dictionary)

Parameters

Type	Name	Description
Dictionary<String, Double[]>	dictionary

Returns

Type	Description
Double[,]

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ConvertDictionaryToVector(Dictionary<String, Double[]>)

Declaration

public static double[] ConvertDictionaryToVector(Dictionary<string, double[]> dictionary)

Parameters

Type	Name	Description
Dictionary<String, Double[]>	dictionary

Returns

Type	Description
Double[]

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ConvertDictionaryToVector(Dictionary<String, Double>)

Declaration

public static double[] ConvertDictionaryToVector(Dictionary<string, double> dictionary)

Parameters

Type	Name	Description
Dictionary<String, Double>	dictionary

Returns

Type	Description
Double[]

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ConvertPlotDictionaryToPlotList(Dictionary<String, Plot>)

Declaration

public static List<Plot> ConvertPlotDictionaryToPlotList(Dictionary<string, Plot> dict)

Parameters

Type	Name	Description
Dictionary<String, Plot>	dict

Returns

Type	Description
List<Plot>

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ConvertResultsToDictionaryOfArrays(List<DescriptionResult>)

Declaration

public static Dictionary<string, double[]> ConvertResultsToDictionaryOfArrays(List<DescriptionResult> results)

Parameters

Type	Name	Description
List<DescriptionResult>	results

Returns

Type	Description
Dictionary<String, Double[]>

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ConvertResultsToDictionaryOfArrays(List<DescriptionResult>, Int32, Int32)

Converts individual results to a dictionary of plots.

Declaration

public static Dictionary<string, double[]> ConvertResultsToDictionaryOfArrays(List<DescriptionResult> results, int arrayLength, int arrayStart)

Parameters

Type	Name	Description
List<DescriptionResult>	results	a list of results for each content type in every minute.
Int32	arrayLength	The plot length will the total number of minutes scanned, typically 1440 for one day.
Int32	arrayStart	time start.

Returns

Type	Description
Dictionary<String, Double[]>

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ConvertResultsToPlots(List<DescriptionResult>, Int32, Int32)

Converts individual results to a dictionary of plots.

Declaration

public static Dictionary<string, Plot> ConvertResultsToPlots(List<DescriptionResult> results, int plotLength, int plotStart)

Parameters

Type	Name	Description
List<DescriptionResult>	results	a list of results for each content type in every minute.
Int32	plotLength	The plot length will the total number of minutes scanned, typically 1440 or one day.
Int32	plotStart	time start.

Returns

Type	Description
Dictionary<String, Plot>

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ExtractDictionaryOfTemplateDictionaries(FunctionalTemplate[])

Declaration

public static Dictionary<string, Dictionary<string, double[]>> ExtractDictionaryOfTemplateDictionaries(FunctionalTemplate[] templates)

Parameters

Type	Name	Description
FunctionalTemplate[]	templates

Returns

Type	Description
Dictionary<String, Dictionary<String, Double[]>>

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GetFreqBinBounds(Int32, Int32)

Returns the bin bounds assuming that the full spectrum consists of the default value = 256.

Declaration

public static int[] GetFreqBinBounds(int bottomFrequency, int topFrequency)

Parameters

Type	Name	Description
Int32	bottomFrequency	Units = Hertz.
Int32	topFrequency	Hertz.

Returns

Type	Description
Int32[]

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GetFreqBinBounds(Int32, Int32, Int32)

Declaration

public static int[] GetFreqBinBounds(int bottomFrequency, int topFrequency, int binCount)

Parameters

Type	Name	Description
Int32	bottomFrequency
Int32	topFrequency
Int32	binCount

Returns

Type	Description
Int32[]

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GetFreqBinVector(Dictionary<String, Double[]>, Int32)

Declaration

public static double[] GetFreqBinVector(Dictionary<string, double[]> dictionary, int id)

Parameters

Type	Name	Description
Dictionary<String, Double[]>	dictionary
Int32	id

Returns

Type	Description
Double[]

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GetIndicesForOneMinute(Dictionary<String, Double[,]>, Int32)

Declaration

public static Dictionary<string, double[]> GetIndicesForOneMinute(Dictionary<string, double[, ]> allIndices, int rowId)

Parameters

Type	Name	Description
Dictionary<String, Double[,]>	allIndices
Int32	rowId

Returns

Type	Description
Dictionary<String, Double[]>

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GetRandomNumberArray(Int32)

used for experimental purposes.

Declaration

public static Plot GetRandomNumberArray(int length)

Parameters

Type	Name	Description
Int32	length

Returns

Type	Description
Plot

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GetRequiredIndices(Dictionary<String, Double[]>, String[])

Not all templates will use the same indices. This method returns a dictionary of the required indices only.

Declaration

public static Dictionary<string, double[]> GetRequiredIndices(Dictionary<string, double[]> oneMinuteOfIndices, string[] keys)

Parameters

Type	Name	Description
Dictionary<String, Double[]>	oneMinuteOfIndices
String[]	keys

Returns

Type	Description
Dictionary<String, Double[]>

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PercentileThresholding(List<Plot>, Int32)

Subtract the percentile value from the scores and normalize the remaining values in 0,1.

Declaration

public static List<Plot> PercentileThresholding(List<Plot> plots, int percentile)

Parameters

Type	Name	Description
List<Plot>	plots
Int32	percentile

Returns

Type	Description
List<Plot>

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ReadIndexMatrices(String)

Reads in all the index matrices whose keys are in the above array of IndexNames. Returns normalised values.

Declaration

public static Dictionary<string, double[, ]> ReadIndexMatrices(string filePath)

Parameters

Type	Name	Description
String	filePath	Partial path to the index files.

Returns

Type	Description
Dictionary<String, Double[,]>	a Dictionary of matrices containing normalised index values.

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ReadSpectralIndicesFromIndexMatrices(DirectoryInfo, String)

This method assumes that the start and end minute for reading from index matrices is first and last row respectively of matrices - assuming one minute per row.

Declaration

public static double[, ] ReadSpectralIndicesFromIndexMatrices(DirectoryInfo dir, string baseName)

Parameters

Type	Name	Description
DirectoryInfo	dir	the directory containing the matrices.
String	baseName	base name of the files.

Returns

Type	Description
Double[,]	a matrix of indices from required start time to required end time.

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ReadSpectralIndicesFromIndexMatrices(DirectoryInfo, String, TimeSpan, TimeSpan)

Read five sets of acoustic indices into a matrix each row of which is a combined feature vector.

Declaration

public static double[, ] ReadSpectralIndicesFromIndexMatrices(DirectoryInfo dir, string baseName, TimeSpan startTime, TimeSpan duration)

Parameters

Type	Name	Description
DirectoryInfo	dir
String	baseName
TimeSpan	startTime
TimeSpan	duration

Returns

Type	Description
Double[,]

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ReduceIndicesByFactor(Dictionary<String, Double[]>, Int32)

Reduces a dictionary of vectors by a factor. It is assumed that the input vectors are a power of 2 in length i.e. FFT spectra. It is assumed that the factor of reduction will also be a power of 2, typically 8 or 16.

Declaration

public static Dictionary<string, double[]> ReduceIndicesByFactor(Dictionary<string, double[]> indices, int factor)

Parameters

Type	Name	Description
Dictionary<String, Double[]>	indices
Int32	factor

Returns

Type	Description
Dictionary<String, Double[]>	The dictionary of reduced vectors.

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ScanSpectrumWithTemplate(Dictionary<String, Double[]>, Dictionary<String, Double[]>)

THis method assumes that the passed template contains only one value for each key.

Declaration

public static double[] ScanSpectrumWithTemplate(Dictionary<string, double[]> templateDict, Dictionary<string, double[]> oneMinuteIndices)

Parameters

Type	Name	Description
Dictionary<String, Double[]>	templateDict	Each kvp = string, double.
Dictionary<String, Double[]>	oneMinuteIndices	the indices.

Returns

Type	Description
Double[]	A spectrum of similarity-distance scores.

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SubtractMeanPlusSd(List<Plot>)

A score normalization option.

Declaration

public static List<Plot> SubtractMeanPlusSd(List<Plot> plots)

Parameters

Type	Name	Description
List<Plot>	plots

Returns

Type	Description
List<Plot>

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SubtractModeAndSd(List<Plot>)

This method normalizes a score array by subtracting the mode rather than the average of the array. This is because the noise is often not normally distributed but rather skewed. However, did not work well.

Declaration

public static List<Plot> SubtractModeAndSd(List<Plot> plots)

Parameters

Type	Name	Description
List<Plot>	plots

Returns

Type	Description
List<Plot>