public static AudioToSonogramResult AnalyseOneRecording(
FileInfo sourceRecording,
Dictionary <string, string> configDict,
TimeSpan localEventStart,
TimeSpan localEventEnd,
int minHz,
int maxHz,
DirectoryInfo outDirectory)
{
// set a threshold for determining energy distribution in call
// NOTE: value of this threshold depends on whether working with decibel, energy or amplitude values
const double threshold = 9.0;
int resampleRate = AppConfigHelper.DefaultTargetSampleRate;
if (configDict.ContainsKey(AnalysisKeys.ResampleRate))
{
resampleRate = int.Parse(configDict[AnalysisKeys.ResampleRate]);
}
configDict[ConfigKeys.Recording.Key_RecordingCallName] = sourceRecording.FullName;
configDict[ConfigKeys.Recording.Key_RecordingFileName] = sourceRecording.Name;
// 1: GET RECORDING and make temporary copy
// put temp audio FileSegment in same directory as the required output image.
var tempAudioSegment = TempFileHelper.NewTempFile(outDirectory, "wav");
// delete the temp audio file if it already exists.
if (File.Exists(tempAudioSegment.FullName))
{
File.Delete(tempAudioSegment.FullName);
}
// This line creates a temporary version of the source file downsampled as per entry in the config file
MasterAudioUtility.SegmentToWav(sourceRecording, tempAudioSegment, new AudioUtilityRequest()
{
TargetSampleRate = resampleRate
});
// 2: Generate sonogram image files
AudioToSonogramResult result = GenerateSpectrogramImages(tempAudioSegment, configDict, outDirectory);
// 3: GET the SNR statistics
TimeSpan eventDuration = localEventEnd - localEventStart;
result.SnrStatistics = SNR.Calculate_SNR_ShortRecording(tempAudioSegment, configDict, localEventStart, eventDuration, minHz, maxHz, threshold);
// 4: Delete the temp file
File.Delete(tempAudioSegment.FullName);
return(result);
}
