/// <summary>
/// Arrange candidates according to the corresponding calculation between initial signature and actual signature
/// </summary>
/// <param name="f">Actual signature gathered from the song</param>
/// <param name="potentialCandidates">Potential fingerprints returned from the database</param>
/// <param name="lHashTables">Number of L Hash tables</param>
/// <param name="kKeys">Number of keys per table</param>
/// <param name="trackIdQueryStats">Result set</param>
/// <returns>Result set</returns>
private static Dictionary <Int32, QueryStats> ArrangeCandidatesAccordingToFingerprints(bool[] f, Dictionary <Fingerprint, int> potentialCandidates,
int lHashTables, int kKeys, Dictionary <Int32, QueryStats> trackIdQueryStats)
{
// Most time consuming method while performing the necessary calculation
foreach (KeyValuePair <Fingerprint, int> pair in potentialCandidates)
{
Fingerprint fingerprint = pair.Key;
int tableVotes = pair.Value;
// Compute Hamming Distance of actual and read signature
int hammingDistance = MinHash.CalculateHammingDistance(f, fingerprint.Signature) * tableVotes;
double jaqSimilarity = MinHash.CalculateJaqSimilarity(f, fingerprint.Signature);
// Add to sample set
Int32 trackId = fingerprint.TrackId;
if (!trackIdQueryStats.ContainsKey(trackId))
{
trackIdQueryStats.Add(trackId, new QueryStats(0, 0, 0, -1, -1, 0, Int32.MinValue, 0, Int32.MaxValue, Int32.MinValue, Int32.MinValue, Double.MaxValue));
}
QueryStats stats = trackIdQueryStats[trackId];
stats.HammingDistance += hammingDistance; // Sum hamming distance of each potential candidate
stats.NumberOfTrackIdOccurences++; // Increment occurrence count
stats.NumberOfTotalTableVotes += tableVotes; // Find total table votes
stats.HammingDistanceByTrack += hammingDistance / tableVotes; // Find hamming distance by track id occurrence
if (stats.MinHammingDistance > hammingDistance / tableVotes) // Find minimal hamming distance over the entire set
{
stats.MinHammingDistance = hammingDistance / tableVotes;
}
if (stats.MaxTableVote < tableVotes) // Find maximal table vote
{
stats.MaxTableVote = tableVotes;
}
if (stats.Similarity > jaqSimilarity)
{
stats.Similarity = jaqSimilarity;
}
}
return(trackIdQueryStats);
}
public CompareAudioForm()
{
//
// The InitializeComponent() call is required for Windows Forms designer support.
//
InitializeComponent();
//
// TODO: Add constructor code after the InitializeComponent() call.
//
// Instansiate Soundfingerprinting Repository
FingerprintService fingerprintService = Analyzer.GetSoundfingerprintingService();
this.databaseService = DatabaseService.Instance;
IPermutations permutations = new LocalPermutations("Soundfingerprinting\\perms.csv", ",");
//IPermutations permutations = new LocalPermutations("Soundfingerprinting\\perms-new.csv", ",");
IFingerprintingConfiguration fingerprintingConfigCreation = new FullFrequencyFingerprintingConfiguration();
repository = new Repository(permutations, databaseService, fingerprintService);
ImageService imageService = new ImageService(fingerprintService.SpectrumService, fingerprintService.WaveletService);
FileInfo filePathAudio1 = new FileInfo(@"C:\Users\perivar.nerseth\Music\Test Samples Database\VDUB1 Snare 004.wav");
FileInfo filePathAudio2 = new FileInfo(@"C:\Users\perivar.nerseth\Music\Test Samples Search\VDUB1 Snare 004 - Start.wav");
int fingerprintsPerRow = 2;
double[][] logSpectrogram1 = null;
double[][] logSpectrogram2 = null;
List <bool[]> fingerprints1 = null;
List <bool[]> fingerprints2 = null;
WorkUnitParameterObject file1Param = Analyzer.GetWorkUnitParameterObjectFromAudioFile(filePathAudio1);
if (file1Param != null)
{
file1Param.FingerprintingConfiguration = fingerprintingConfigCreation;
// Get fingerprints
fingerprints1 = fingerprintService.CreateFingerprintsFromAudioSamples(file1Param.AudioSamples, file1Param, out logSpectrogram1);
pictureBox1.Image = imageService.GetSpectrogramImage(logSpectrogram1, logSpectrogram1.Length, logSpectrogram1[0].Length);
pictureBoxWithInterpolationMode1.Image = imageService.GetImageForFingerprints(fingerprints1, file1Param.FingerprintingConfiguration.FingerprintLength, file1Param.FingerprintingConfiguration.LogBins, fingerprintsPerRow);
}
WorkUnitParameterObject file2Param = Analyzer.GetWorkUnitParameterObjectFromAudioFile(filePathAudio2);
if (file2Param != null)
{
file2Param.FingerprintingConfiguration = fingerprintingConfigCreation;
// Get fingerprints
fingerprints2 = fingerprintService.CreateFingerprintsFromAudioSamples(file2Param.AudioSamples, file2Param, out logSpectrogram2);
pictureBox2.Image = imageService.GetSpectrogramImage(logSpectrogram2, logSpectrogram2.Length, logSpectrogram2[0].Length);
pictureBoxWithInterpolationMode2.Image = imageService.GetImageForFingerprints(fingerprints2, file2Param.FingerprintingConfiguration.FingerprintLength, file2Param.FingerprintingConfiguration.LogBins, fingerprintsPerRow);
}
MinHash minHash = repository.MinHash;
// only use the first signatures
bool[] signature1 = fingerprints1[0];
bool[] signature2 = fingerprints2[0];
if (signature1 != null && signature2 != null)
{
int hammingDistance = MinHash.CalculateHammingDistance(signature1, signature2);
double jaqSimilarity = MinHash.CalculateJaqSimilarity(signature1, signature2);
lblSimilarity.Text = String.Format("Hamming: {0} JAQ: {1}", hammingDistance, jaqSimilarity);
}
}
