public override Task <int> Execute(CommandLineApplication app)
{
SPT.Execute(this);
return(this.Ok());
}
public static void Execute(Arguments arguments)
{
if (arguments == null)
{
arguments = Dev();
}
LoggedConsole.WriteLine("DATE AND TIME:" + DateTime.Now);
LoggedConsole.WriteLine("Syntactic Pattern Recognition\n");
//StringBuilder sb = new StringBuilder("DATE AND TIME:" + DateTime.Now + "\n");
//sb.Append("SCAN ALL RECORDINGS IN A DIRECTORY USING HTK-RECOGNISER\n");
Log.Verbosity = 1;
FileInfo recordingPath = arguments.Source;
FileInfo iniPath = arguments.Config;
DirectoryInfo outputDir = arguments.Output;
string opFName = "SPR-output.txt";
string opPath = outputDir + opFName;
Log.WriteIfVerbose("# Output folder =" + outputDir);
// A: READ PARAMETER VALUES FROM INI FILE
var config = new ConfigDictionary(iniPath);
Dictionary <string, string> dict = config.GetTable();
Dictionary <string, string> .KeyCollection keys = dict.Keys;
string callName = dict[key_CALL_NAME];
double frameOverlap = Convert.ToDouble(dict[key_FRAME_OVERLAP]);
//SPT PARAMETERS
double intensityThreshold = Convert.ToDouble(dict[key_SPT_INTENSITY_THRESHOLD]);
int smallLengthThreshold = Convert.ToInt32(dict[key_SPT_SMALL_LENGTH_THRESHOLD]);
//WHIPBIRD PARAMETERS
int whistle_MinHz = int.Parse(dict[key_WHISTLE_MIN_HZ]);
int whistle_MaxHz = int.Parse(dict[key_WHISTLE_MAX_HZ]);
double optimumWhistleDuration = double.Parse(dict[key_WHISTLE_DURATION]); //optimum duration of whistle in seconds
int whip_MinHz = (dict.ContainsKey(key_WHIP_MIN_HZ)) ? int.Parse(dict[key_WHIP_MIN_HZ]) : 0;
int whip_MaxHz = (dict.ContainsKey(key_WHIP_MAX_HZ)) ? int.Parse(dict[key_WHIP_MAX_HZ]) : 0;
double whipDuration = (dict.ContainsKey(key_WHIP_DURATION)) ? double.Parse(dict[key_WHIP_DURATION]) : 0.0; //duration of whip in seconds
//CURLEW PARAMETERS
double minDuration = (dict.ContainsKey(key_MIN_DURATION)) ? double.Parse(dict[key_MIN_DURATION]) : 0.0; //min duration of call in seconds
double maxDuration = (dict.ContainsKey(key_MAX_DURATION)) ? double.Parse(dict[key_MAX_DURATION]) : 0.0; //duration of call in seconds
double eventThreshold = double.Parse(dict[key_EVENT_THRESHOLD]); //min score for an acceptable event
int DRAW_SONOGRAMS = Convert.ToInt16(dict[key_DRAW_SONOGRAMS]);
// B: CHECK to see if conversion from .MP3 to .WAV is necessary
var destinationAudioFile = recordingPath;
//LOAD RECORDING AND MAKE SONOGRAM
BaseSonogram sonogram = null;
using (var recording = new AudioRecording(destinationAudioFile.FullName))
{
// if (recording.SampleRate != 22050) recording.ConvertSampleRate22kHz(); // THIS METHOD CALL IS OBSOLETE
var sonoConfig = new SonogramConfig
{
NoiseReductionType = NoiseReductionType.None,
//NoiseReductionType = NoiseReductionType.STANDARD,
WindowOverlap = frameOverlap,
};
sonogram = new SpectrogramStandard(sonoConfig, recording.WavReader);
}
List <AcousticEvent> predictedEvents = null;
double[,] hits = null;
double[] scores = null;
var audioFileName = Path.GetFileNameWithoutExtension(destinationAudioFile.FullName);
if (callName.Equals("WHIPBIRD"))
{
//SPT
var result1 = SPT.doSPT(sonogram, intensityThreshold, smallLengthThreshold);
//SPR
Log.WriteLine("SPR start: intensity threshold = " + intensityThreshold);
int slope = 0; //degrees of the circle. i.e. 90 = vertical line.
double sensitivity = 0.7; //lower value = more sensitive
var mHori = MarkLine(result1.Item1, slope, smallLengthThreshold, intensityThreshold, sensitivity);
slope = 87; //84
sensitivity = 0.8; //lower value = more sensitive
var mVert = MarkLine(result1.Item1, slope, smallLengthThreshold - 4, intensityThreshold + 1, sensitivity);
Log.WriteLine("SPR finished");
Log.WriteLine("Extract Whipbird calls - start");
int minBound_Whistle = (int)(whistle_MinHz / sonogram.FBinWidth);
int maxBound_Whistle = (int)(whistle_MaxHz / sonogram.FBinWidth);
int whistleFrames = (int)(sonogram.FramesPerSecond * optimumWhistleDuration); //86 = frames/sec.
int minBound_Whip = (int)(whip_MinHz / sonogram.FBinWidth);
int maxBound_Whip = (int)(whip_MaxHz / sonogram.FBinWidth);
int whipFrames = (int)(sonogram.FramesPerSecond * whipDuration); //86 = frames/sec.
var result3 = DetectWhipBird(mHori, mVert, minBound_Whistle, maxBound_Whistle, whistleFrames, minBound_Whip, maxBound_Whip, whipFrames, smallLengthThreshold);
scores = result3.Item1;
hits = DataTools.AddMatrices(mHori, mVert);
predictedEvents = AcousticEvent.ConvertScoreArray2Events(
scores,
whip_MinHz,
whip_MaxHz,
sonogram.FramesPerSecond,
sonogram.FBinWidth,
eventThreshold,
minDuration,
maxDuration,
TimeSpan.Zero);
foreach (AcousticEvent ev in predictedEvents)
{
ev.FileName = audioFileName;
ev.Name = callName;
}
sonogram.Data = result1.Item1;
Log.WriteLine("Extract Whipbird calls - finished");
}
else if (callName.Equals("CURLEW"))
{
//SPT
double backgroundThreshold = 4.0;
var result1 = SNR.NoiseReduce(sonogram.Data, NoiseReductionType.Standard, backgroundThreshold);
//var result1 = SPT.doSPT(sonogram, intensityThreshold, smallLengthThreshold);
//var result1 = doNoiseRemoval(sonogram, intensityThreshold, smallLengthThreshold);
//SPR
Log.WriteLine("SPR start: intensity threshold = " + intensityThreshold);
int slope = 20; //degrees of the circle. i.e. 90 = vertical line.
double sensitivity = 0.8; //lower value = more sensitive
var mHori = MarkLine(result1.Item1, slope, smallLengthThreshold, intensityThreshold, sensitivity);
slope = 160;
sensitivity = 0.8; //lower value = more sensitive
var mVert = MarkLine(result1.Item1, slope, smallLengthThreshold - 3, intensityThreshold + 1, sensitivity);
Log.WriteLine("SPR finished");
//detect curlew calls
int minBound_Whistle = (int)(whistle_MinHz / sonogram.FBinWidth);
int maxBound_Whistle = (int)(whistle_MaxHz / sonogram.FBinWidth);
int whistleFrames = (int)(sonogram.FramesPerSecond * optimumWhistleDuration);
var result3 = DetectCurlew(mHori, mVert, minBound_Whistle, maxBound_Whistle, whistleFrames, smallLengthThreshold);
//process curlew scores - look for curlew characteristic periodicity
double minPeriod = 1.2;
double maxPeriod = 1.8;
int minPeriod_frames = (int)Math.Round(sonogram.FramesPerSecond * minPeriod);
int maxPeriod_frames = (int)Math.Round(sonogram.FramesPerSecond * maxPeriod);
scores = DataTools.filterMovingAverage(result3.Item1, 21);
scores = DataTools.PeriodicityDetection(scores, minPeriod_frames, maxPeriod_frames);
//extract events
predictedEvents = AcousticEvent.ConvertScoreArray2Events(
scores,
whistle_MinHz,
whistle_MaxHz,
sonogram.FramesPerSecond,
sonogram.FBinWidth,
eventThreshold,
minDuration,
maxDuration,
TimeSpan.Zero);
foreach (AcousticEvent ev in predictedEvents)
{
ev.FileName = audioFileName;
ev.Name = callName;
}
hits = DataTools.AddMatrices(mHori, mVert);
sonogram.Data = result1.Item1;
Log.WriteLine("Extract Curlew calls - finished");
}
else if (callName.Equals("CURRAWONG"))
{
//SPT
var result1 = SPT.doSPT(sonogram, intensityThreshold, smallLengthThreshold);
//SPR
Log.WriteLine("SPR start: intensity threshold = " + intensityThreshold);
int slope = 70; //degrees of the circle. i.e. 90 = vertical line.
//slope = 210;
double sensitivity = 0.7; //lower value = more sensitive
var mHori = MarkLine(result1.Item1, slope, smallLengthThreshold, intensityThreshold, sensitivity);
slope = 110;
//slope = 340;
sensitivity = 0.7; //lower value = more sensitive
var mVert = MarkLine(result1.Item1, slope, smallLengthThreshold - 3, intensityThreshold + 1, sensitivity);
Log.WriteLine("SPR finished");
int minBound_Whistle = (int)(whistle_MinHz / sonogram.FBinWidth);
int maxBound_Whistle = (int)(whistle_MaxHz / sonogram.FBinWidth);
int whistleFrames = (int)(sonogram.FramesPerSecond * optimumWhistleDuration); //86 = frames/sec.
var result3 = DetectCurlew(mHori, mVert, minBound_Whistle, maxBound_Whistle, whistleFrames + 10, smallLengthThreshold);
scores = result3.Item1;
hits = DataTools.AddMatrices(mHori, mVert);
predictedEvents = AcousticEvent.ConvertIntensityArray2Events(
scores,
TimeSpan.Zero,
whistle_MinHz,
whistle_MaxHz,
sonogram.FramesPerSecond,
sonogram.FBinWidth,
eventThreshold,
0.5,
maxDuration);
foreach (AcousticEvent ev in predictedEvents)
{
ev.FileName = audioFileName;
//ev.Name = callName;
}
}
//write event count to results file.
double sigDuration = sonogram.Duration.TotalSeconds;
//string fname = Path.GetFileName(recordingPath);
int count = predictedEvents.Count;
Log.WriteIfVerbose("Number of Events: " + count);
string str = string.Format("{0}\t{1}\t{2}", callName, sigDuration, count);
FileTools.WriteTextFile(opPath, AcousticEvent.WriteEvents(predictedEvents, str).ToString());
// SAVE IMAGE
string imageName = outputDir + audioFileName;
string imagePath = imageName + ".png";
if (File.Exists(imagePath))
{
int suffix = 1;
while (File.Exists(imageName + "." + suffix.ToString() + ".png"))
{
suffix++;
}
//{
// suffix = (suffix == string.Empty) ? "1" : (int.Parse(suffix) + 1).ToString();
//}
//File.Delete(outputDir + audioFileName + "." + suffix.ToString() + ".png");
File.Move(imagePath, imageName + "." + suffix.ToString() + ".png");
}
//string newPath = imagePath + suffix + ".png";
if (DRAW_SONOGRAMS == 2)
{
DrawSonogram(sonogram, imagePath, hits, scores, predictedEvents, eventThreshold);
}
else
if ((DRAW_SONOGRAMS == 1) && (predictedEvents.Count > 0))
{
DrawSonogram(sonogram, imagePath, hits, scores, predictedEvents, eventThreshold);
}
Log.WriteIfVerbose("Image saved to: " + imagePath);
//string savePath = outputDir + Path.GetFileNameWithoutExtension(recordingPath);
//string suffix = string.Empty;
//Image im = sonogram.GetImage(false, false);
//string newPath = savePath + suffix + ".jpg";
//im.Save(newPath);
LoggedConsole.WriteLine("\nFINISHED RECORDING!");
Console.ReadLine();
}
