Class LitoriaBicolor

To call this LitoriaBicolor recognizer, the first command line argument must be "EventRecognizer". Alternatively, this recognizer can be called via the MultiRecognizer.

This frog recognizer is based on the "kek-kek" recognizer for the Lewin's Rail It looks for synchronous oscillations in two frequency bands This recognizer was first developed for Jenny ???, a Masters student around 2007. It has been updated in October 2016 to become one of the new RecognizerBase recognizers. however the Correlation technique used for the Lewins Rail did not work because the ossilations in the upper and lower freq bands are not correlated. Instead measure the oscillations in the upper and lower bands independently.

Inheritance
Object
AbstractStrongAnalyser
RecognizerBase
LitoriaBicolor
Inherited Members
Namespace: AnalysisPrograms.Recognizers.Frogs
Assembly: AnalysisPrograms.dll
Syntax
public class LitoriaBicolor : RecognizerBase, IEventRecognizer, IAnalyser2, ICiteable, IHasStatus

Properties

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Author

Declaration
public override string Author { get; }
Property Value
Type Description
String
Overrides
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CommonName

Declaration
public override string CommonName { get; }
Property Value
Type Description
String
Overrides
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Description

Declaration
public override string Description { get; }
Property Value
Type Description
String
Overrides
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SpeciesName

Declaration
public override string SpeciesName { get; }
Property Value
Type Description
String
Overrides
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Status

Declaration
public override Status Status { get; }
Property Value
Type Description
Status
Overrides

Methods

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Analysis(AudioRecording, SonogramConfig, LitoriaBicolorConfig, Boolean, TimeSpan)

THE KEY ANALYSIS METHOD.

Declaration
public static Tuple<BaseSonogram, double[, ], double[], List<AcousticEvent>, Image> Analysis(AudioRecording recording, SonogramConfig sonoConfig, LitoriaBicolorConfig lbConfig, bool drawDebugImage, TimeSpan segmentStartOffset)
Parameters
Type Name Description
AudioRecording recording
SonogramConfig sonoConfig
LitoriaBicolorConfig lbConfig
Boolean drawDebugImage
TimeSpan segmentStartOffset
Returns
Type Description
Tuple<BaseSonogram, Double[,], Double[], List<AcousticEvent>, SixLabors.ImageSharp.Image>
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DisplayDebugImage(BaseSonogram, List<AcousticEvent>, List<Plot>, Double[,])

Declaration
public static Image DisplayDebugImage(BaseSonogram sonogram, List<AcousticEvent> events, List<Plot> scores, double[, ] hits)
Parameters
Type Name Description
BaseSonogram sonogram
List<AcousticEvent> events
List<Plot> scores
Double[,] hits
Returns
Type Description
SixLabors.ImageSharp.Image
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Recognize(AudioRecording, Config, TimeSpan, Lazy<IndexCalculateResult[]>, DirectoryInfo, Nullable<Int32>)

Do your analysis. This method is called once per segment (typically one-minute segments).

Declaration
public override RecognizerResults Recognize(AudioRecording recording, Config configuration, TimeSpan segmentStartOffset, Lazy<IndexCalculateResult[]> getSpectralIndexes, DirectoryInfo outputDirectory, int? imageWidth)
Parameters
Type Name Description
AudioRecording recording
Config configuration
TimeSpan segmentStartOffset
Lazy<IndexCalculateResult[]> getSpectralIndexes
DirectoryInfo outputDirectory
Nullable<Int32> imageWidth
Returns
Type Description
RecognizerResults
Overrides
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SummariseResults(AnalysisSettings, FileSegment, EventBase[], SummaryIndexBase[], SpectralIndexBase[], AnalysisResult2[])

Summarize your results. This method is invoked exactly once per original file.

Declaration
public override void SummariseResults(AnalysisSettings settings, FileSegment inputFileSegment, EventBase[] events, SummaryIndexBase[] indices, SpectralIndexBase[] spectralIndices, AnalysisResult2[] results)
Parameters
Type Name Description
AnalysisSettings settings
FileSegment inputFileSegment
EventBase[] events
SummaryIndexBase[] indices
SpectralIndexBase[] spectralIndices
AnalysisResult2[] results
Overrides

Implements

Extension Methods