/// <summary>
/// This method is called once per segment (typically one-minute segments).
/// </summary>
/// <param name="audioRecording">one minute of audio recording.</param>
/// <param name="config">config file that contains parameters used by all profiles.</param>
/// <param name="segmentStartOffset">when recording starts.</param>
/// <param name="getSpectralIndexes">not sure what this is.</param>
/// <param name="outputDirectory">where the recognizer results can be found.</param>
/// <param name="imageWidth"> assuming ????.</param>
/// <returns>recognizer results.</returns>
public override RecognizerResults Recognize(
AudioRecording audioRecording,
Config config,
TimeSpan segmentStartOffset,
Lazy <IndexCalculateResult[]> getSpectralIndexes,
DirectoryInfo outputDirectory,
int?imageWidth)
{
//class NinoxBoobookConfig is defined at bottom of this file.
var genericConfig = (NinoxBoobookConfig)config;
var recognizer = new GenericRecognizer();
RecognizerResults combinedResults = recognizer.Recognize(
audioRecording,
genericConfig,
segmentStartOffset,
getSpectralIndexes,
outputDirectory,
imageWidth);
// DO POST-PROCESSING of EVENTS
// Filter out the chirp events for possible combining.
var(chirpEvents, others) = combinedResults.NewEvents.FilterForEventType <ChirpEvent, EventCommon>();
// Uncomment the next line when want to obtain the event frequency profiles.
// WriteFrequencyProfiles(chirpEvents);
// Calculate frequency profile score for each event
foreach (var ev in chirpEvents)
{
SetFrequencyProfileScore((ChirpEvent)ev);
}
// Combine overlapping events. If the dB threshold is set low, may get lots of little events.
var newEvents = CompositeEvent.CombineOverlappingEvents(chirpEvents.Cast <EventCommon>().ToList());
if (genericConfig.CombinePossibleSyllableSequence)
{
// convert events to spectral events for possible combining.
var(spectralEvents, _) = combinedResults.NewEvents.FilterForEventType <SpectralEvent, EventCommon>();
var startDiff = genericConfig.SyllableStartDifference;
var hertzDiff = genericConfig.SyllableHertzGap;
newEvents = CompositeEvent.CombineSimilarProximalEvents(spectralEvents, TimeSpan.FromSeconds(startDiff), (int)hertzDiff);
}
combinedResults.NewEvents = newEvents;
//UNCOMMENT following line if you want special debug spectrogram, i.e. with special plots.
// NOTE: Standard spectrograms are produced by setting SaveSonogramImages: "True" or "WhenEventsDetected" in <Towsey.PteropusSpecies.yml> config file.
//GenericRecognizer.SaveDebugSpectrogram(territorialResults, genericConfig, outputDirectory, audioRecording.BaseName);
return(combinedResults);
}
public override AnalyzerConfig ParseConfig(FileInfo file)
{
RuntimeHelpers.RunClassConstructor(typeof(NinoxBoobookConfig).TypeHandle);
var config = ConfigFile.Deserialize <NinoxBoobookConfig>(file);
// validation of configs can be done here
GenericRecognizer.ValidateProfileTagsMatchAlgorithms(config.Profiles, file);
// This call sets a restriction so that only one generic algorithm is used.
// CHANGE this to accept multiple generic algorithms as required.
//if (result.Profiles.SingleOrDefault() is ForwardTrackParameters)
if (config.Profiles?.Count == 1 && config.Profiles.First().Value is ForwardTrackParameters)
{
return(config);
}
throw new ConfigFileException("NinoxBoobook expects one and only one ForwardTrack algorithm.", file);
}
/// <summary>
/// This method is called once per segment (typically one-minute segments).
/// </summary>
/// <param name="audioRecording">one minute of audio recording.</param>
/// <param name="config">config file that contains parameters used by all profiles.</param>
/// <param name="segmentStartOffset">when recording starts.</param>
/// <param name="getSpectralIndexes">not sure what this is.</param>
/// <param name="outputDirectory">where the recognizer results can be found.</param>
/// <param name="imageWidth"> assuming ????.</param>
/// <returns>recognizer results.</returns>
public override RecognizerResults Recognize(
AudioRecording audioRecording,
Config config,
TimeSpan segmentStartOffset,
Lazy <IndexCalculateResult[]> getSpectralIndexes,
DirectoryInfo outputDirectory,
int?imageWidth)
{
//class BotaurusPoiciloptilusConfig is define at bottom of this file.
var genericConfig = (BotaurusPoiciloptilusConfig)config;
var recognizer = new GenericRecognizer();
RecognizerResults combinedResults = recognizer.Recognize(
audioRecording,
genericConfig,
segmentStartOffset,
getSpectralIndexes,
outputDirectory,
imageWidth);
// DO POST-PROCESSING of EVENTS
var events = combinedResults.NewEvents;
// Following two commented lines are different ways of casting lists.
//var newEvents = spectralEvents.Cast<EventCommon>().ToList();
//var spectralEvents = events.Select(x => (SpectralEvent)x).ToList();
List <EventCommon> newEvents;
// NOTE: If the dB threshold is set low, may get lots of little events.
if (genericConfig.CombinePossibleSyllableSequence)
{
// Convert events to spectral events for combining of possible sequences.
var spectralEvents = events.Cast <SpectralEvent>().ToList();
var startDiff = genericConfig.SyllableStartDifference;
var hertzDiff = genericConfig.SyllableHertzGap;
newEvents = CompositeEvent.CombineSimilarProximalEvents(spectralEvents, TimeSpan.FromSeconds(startDiff), (int)hertzDiff);
}
else
{
newEvents = events;
}
//filter the events for duration in seconds
var minimumEventDuration = 0.5;
if (genericConfig.CombinePossibleSyllableSequence)
{
minimumEventDuration = 2.0;
}
var filteredEvents = new List <EventCommon>();
foreach (var ev in newEvents)
{
var eventDuration = ((SpectralEvent)ev).EventDurationSeconds;
if (eventDuration > minimumEventDuration && eventDuration < 11.0)
{
filteredEvents.Add(ev);
}
}
combinedResults.NewEvents = filteredEvents;
//UNCOMMENT following line if you want special debug spectrogram, i.e. with special plots.
// NOTE: Standard spectrograms are produced by setting SaveSonogramImages: "True" or "WhenEventsDetected" in UserName.SpeciesName.yml config file.
//GenericRecognizer.SaveDebugSpectrogram(territorialResults, genericConfig, outputDirectory, audioRecording.BaseName);
return(combinedResults);
}