/// <summary> /// Method to analyze and add using the soundfingerprinting methods /// </summary> /// <param name="filePath">full file path</param> /// <param name="repository">Soundfingerprinting Repository</param> /// <param name="doOutputDebugInfo">decide whether to output debug info like spectrogram and audiofile (default value can be set)</param> /// <param name="useHaarWavelet">decide whether to use haar wavelet compression or DCT compression</param> /// <returns>true if successful</returns> public static bool AnalyzeAndAddSoundfingerprinting(FileInfo filePath, Repository repository, bool doOutputDebugInfo=DEFAULT_DEBUG_INFO, bool useHaarWavelet = true) { DbgTimer t = new DbgTimer(); t.Start (); // get work config from the audio file WorkUnitParameterObject param = GetWorkUnitParameterObjectFromAudioFile(filePath); param.FingerprintingConfiguration = fingerprintingConfigCreation; string fileName = param.FileName; // build track Track track = new Track(); track.Title = param.FileName; track.TrackLengthMs = (int) param.DurationInMs; track.FilePath = param.PathToAudioFile; track.Tags = param.Tags; track.Id = -1; // this will be set by the insert method // Get fingerprint signatures using the Soundfingerprinting methods double[][] logSpectrogram; List<bool[]> fingerprints; List<double[][]> spectralImages; if (repository.InsertTrackInDatabaseUsingSamples(track, param.FingerprintingConfiguration.NumberOfHashTables, param.FingerprintingConfiguration.NumberOfKeys, param, out logSpectrogram, out fingerprints, out spectralImages)) { // store logSpectrogram as Matrix Comirva.Audio.Util.Maths.Matrix logSpectrogramMatrix = new Comirva.Audio.Util.Maths.Matrix(logSpectrogram); logSpectrogramMatrix = logSpectrogramMatrix.Transpose(); #region Debug for Soundfingerprinting Method if (doOutputDebugInfo) { // Image Service ImageService imageService = new ImageService(repository.FingerprintService.SpectrumService, repository.FingerprintService.WaveletService); imageService.GetLogSpectralImages(logSpectrogram, fingerprintingConfigCreation.Stride, fingerprintingConfigCreation.FingerprintLength, fingerprintingConfigCreation.Overlap, 2).Save(fileName + "_specgram_logimages.png"); logSpectrogramMatrix.DrawMatrixImageLogValues(fileName + "_specgram_logimage.png", true); if (DEBUG_OUTPUT_TEXT) { logSpectrogramMatrix.WriteCSV(fileName + "_specgram_log.csv", ";"); } } #endregion } else { // failed Console.Out.WriteLine("Failed! Could not compute the soundfingerprint {0}!", fileName); return false; } Dbg.WriteLine ("AnalyzeAndAddSoundfingerprinting - Total Execution Time: {0} ms", t.Stop().TotalMilliseconds); return true; }
public static AudioFeature AnalyzeSoundfingerprinting(FileInfo filePath, bool doOutputDebugInfo=DEFAULT_DEBUG_INFO, bool useHaarWavelet = true) { DbgTimer t = new DbgTimer(); t.Start (); float[] audiodata = AudioFileReader.Decode(filePath.FullName, SAMPLING_RATE, SECONDS_TO_ANALYZE); if (audiodata == null || audiodata.Length == 0) { Dbg.WriteLine("Error! - No Audio Found"); return null; } // Read TAGs using BASS FindSimilar.AudioProxies.BassProxy bass = FindSimilar.AudioProxies.BassProxy.Instance; Un4seen.Bass.AddOn.Tags.TAG_INFO tag_info = bass.GetTagInfoFromFile(filePath.FullName); // Name of file being processed string name = StringUtils.RemoveNonAsciiCharacters(Path.GetFileNameWithoutExtension(filePath.Name)); #if DEBUG if (Analyzer.DEBUG_INFO_VERBOSE) { if (DEBUG_OUTPUT_TEXT) WriteAscii(audiodata, name + "_audiodata.ascii"); if (DEBUG_OUTPUT_TEXT) WriteF3Formatted(audiodata, name + "_audiodata.txt"); } #endif if (doOutputDebugInfo) { DrawGraph(MathUtils.FloatToDouble(audiodata), name + "_audiodata.png"); } // Calculate duration in ms double duration = (double) audiodata.Length / SAMPLING_RATE * 1000; // zero pad if the audio file is too short to perform a mfcc if (audiodata.Length < (fingerprintingConfig.WdftSize + fingerprintingConfig.Overlap)) { int lenNew = fingerprintingConfig.WdftSize + fingerprintingConfig.Overlap; Array.Resize<float>(ref audiodata, lenNew); } // Get fingerprint signatures using the Soundfingerprinting methods // Get database DatabaseService databaseService = DatabaseService.Instance; IPermutations permutations = new LocalPermutations("Soundfingerprinting\\perms.csv", ","); Repository repository = new Repository(permutations, databaseService, fingerprintService); // Image Service ImageService imageService = new ImageService( fingerprintService.SpectrumService, fingerprintService.WaveletService); // work config WorkUnitParameterObject param = new WorkUnitParameterObject(); param.FingerprintingConfiguration = fingerprintingConfig; param.AudioSamples = audiodata; param.PathToAudioFile = filePath.FullName; param.MillisecondsToProcess = SECONDS_TO_ANALYZE * 1000; param.StartAtMilliseconds = 0; // build track Track track = new Track(); track.Title = name; track.TrackLengthMs = (int) duration; track.FilePath = filePath.FullName; track.Id = -1; // this will be set by the insert method #region parse tag_info if (tag_info != null) { Dictionary<string, string> tags = new Dictionary<string, string>(); //if (tag_info.title != string.Empty) tags.Add("title", tag_info.title); if (tag_info.artist != string.Empty) tags.Add("artist", tag_info.artist); if (tag_info.album != string.Empty) tags.Add("album", tag_info.album); if (tag_info.albumartist != string.Empty) tags.Add("albumartist", tag_info.albumartist); if (tag_info.year != string.Empty) tags.Add("year", tag_info.year); if (tag_info.comment != string.Empty) tags.Add("comment", tag_info.comment); if (tag_info.genre != string.Empty) tags.Add("genre", tag_info.genre); if (tag_info.track != string.Empty) tags.Add("track", tag_info.track); if (tag_info.disc != string.Empty) tags.Add("disc", tag_info.disc); if (tag_info.copyright != string.Empty) tags.Add("copyright", tag_info.copyright); if (tag_info.encodedby != string.Empty) tags.Add("encodedby", tag_info.encodedby); if (tag_info.composer != string.Empty) tags.Add("composer", tag_info.composer); if (tag_info.publisher != string.Empty) tags.Add("publisher", tag_info.publisher); if (tag_info.lyricist != string.Empty) tags.Add("lyricist", tag_info.lyricist); if (tag_info.remixer != string.Empty) tags.Add("remixer", tag_info.remixer); if (tag_info.producer != string.Empty) tags.Add("producer", tag_info.producer); if (tag_info.bpm != string.Empty) tags.Add("bpm", tag_info.bpm); //if (tag_info.filename != string.Empty) tags.Add("filename", tag_info.filename); tags.Add("channelinfo", tag_info.channelinfo.ToString()); //if (tag_info.duration > 0) tags.Add("duration", tag_info.duration.ToString()); if (tag_info.bitrate > 0) tags.Add("bitrate", tag_info.bitrate.ToString()); if (tag_info.replaygain_track_gain != -100f) tags.Add("replaygain_track_gain", tag_info.replaygain_track_gain.ToString()); if (tag_info.replaygain_track_peak != -1f) tags.Add("replaygain_track_peak", tag_info.replaygain_track_peak.ToString()); if (tag_info.conductor != string.Empty) tags.Add("conductor", tag_info.conductor); if (tag_info.grouping != string.Empty) tags.Add("grouping", tag_info.grouping); if (tag_info.mood != string.Empty) tags.Add("mood", tag_info.mood); if (tag_info.rating != string.Empty) tags.Add("rating", tag_info.rating); if (tag_info.isrc != string.Empty) tags.Add("isrc", tag_info.isrc); foreach(var nativeTag in tag_info.NativeTags) { string[] keyvalue = nativeTag.Split('='); tags.Add(keyvalue[0], keyvalue[1]); } track.Tags = tags; } #endregion AudioFeature audioFeature = null; double[][] logSpectrogram; if (repository.InsertTrackInDatabaseUsingSamples(track, 25, 4, param, out logSpectrogram)) { if (doOutputDebugInfo) { imageService.GetLogSpectralImages(logSpectrogram, fingerprintingConfig.Stride, fingerprintingConfig.FingerprintLength, fingerprintingConfig.Overlap, 2).Save(name + "_specgram_logimages.png"); Comirva.Audio.Util.Maths.Matrix logSpectrogramMatrix = new Comirva.Audio.Util.Maths.Matrix(logSpectrogram); logSpectrogramMatrix = logSpectrogramMatrix.Transpose(); logSpectrogramMatrix.DrawMatrixImageLogValues(name + "_specgram_logimage.png", true); if (DEBUG_OUTPUT_TEXT) { logSpectrogramMatrix.WriteCSV(name + "_specgram_log.csv", ";"); } } audioFeature = new DummyAudioFeature(); // Store duration audioFeature.Duration = (long) duration; // Store file name audioFeature.Name = filePath.FullName; } else { // failed } Dbg.WriteLine ("Soundfingerprinting - Total Execution Time: {0} ms", t.Stop().TotalMilliseconds); return audioFeature; }
private static void TestSoundfingerprintingAlgorithm(string filename, string name) { // work config WorkUnitParameterObject param = new WorkUnitParameterObject(); param.PathToAudioFile = filename; param.StartAtMilliseconds = 0; param.MillisecondsToProcess = 0; param.FingerprintingConfiguration = fingerprintingConfig; // Soundfingerprinting Service FingerprintService fingerprintService = GetSoundfingerprintingService(); // Image Service ImageService imageService = new ImageService( fingerprintService.SpectrumService, fingerprintService.WaveletService); // Configuration AudioServiceConfiguration audioServiceConfiguration = new AudioServiceConfiguration { LogBins = fingerprintingConfig.LogBins, LogBase = fingerprintingConfig.LogBase, MaxFrequency = fingerprintingConfig.MaxFrequency, MinFrequency = fingerprintingConfig.MinFrequency, Overlap = fingerprintingConfig.Overlap, SampleRate = fingerprintingConfig.SampleRate, WdftSize = fingerprintingConfig.WdftSize, NormalizeSignal = fingerprintingConfig.NormalizeSignal, UseDynamicLogBase = fingerprintingConfig.UseDynamicLogBase }; double[][] spectrogram = fingerprintService.AudioService.CreateSpectrogram(filename, new Mirage.HannWindow(fingerprintingConfig.WdftSize), fingerprintingConfig.SampleRate, fingerprintingConfig.Overlap, fingerprintingConfig.WdftSize); imageService.GetSpectrogramImage(spectrogram, 600, 400).Save("imageservice_" + name + "_specgram.png"); /* Comirva.Audio.Util.Maths.Matrix stftdata = new Comirva.Audio.Util.Maths.Matrix(spectrogram).Transpose(); #if DEBUG if (Analyzer.DEBUG_INFO_VERBOSE) { if (DEBUG_OUTPUT_TEXT) { stftdata.WriteAscii(name + "_stftdata2.ascii"); stftdata.WriteCSV(name + "_stftdata2.csv", ";"); } // same as specgram(audio*32768, 2048, 44100, hanning(2048), 1024); stftdata.DrawMatrixImageLogValues(name + "_specgram2.png", true); // spec gram with log values for the y axis (frequency) stftdata.DrawMatrixImageLogY(name + "_specgramlog2.png", SAMPLING_RATE, 20, SAMPLING_RATE/2, 120, WINDOW_SIZE); } #endif */ double[][] logSpectrogram = fingerprintService.AudioService.CreateLogSpectrogram(filename, new Mirage.HannWindow(fingerprintingConfig.WdftSize), audioServiceConfiguration); imageService.GetLogSpectralImages(logSpectrogram, fingerprintingConfig.Stride, fingerprintingConfig.FingerprintLength, fingerprintingConfig.Overlap, 2).Save("imageservice_" + name + "_specgram_logimages.png"); Comirva.Audio.Util.Maths.Matrix stftdataLog = new Comirva.Audio.Util.Maths.Matrix(logSpectrogram).Transpose(); #if DEBUG if (Analyzer.DEBUG_INFO_VERBOSE) { if (DEBUG_OUTPUT_TEXT) { stftdataLog.WriteAscii(name + "_stftdataLog.ascii"); stftdataLog.WriteCSV(name + "_stftdataLog.csv", ";"); } // same as specgram(audio*32768, 2048, 44100, hanning(2048), 1024); stftdataLog.DrawMatrixImageLogValues(name + "_stftdataLog.png", true); } #endif // Get fingerprints double[][] LogSpectrogram; List<bool[]> fingerprints = fingerprintService.CreateFingerprintsFromAudioFile(param, out LogSpectrogram); int width = fingerprintingConfig.FingerprintLength; int height = fingerprintingConfig.LogBins; imageService.GetImageForFingerprints(fingerprints, width, height, 2).Save("imageservice_" + name + "_fingerprints.png"); /* IPermutations permutations = new LocalPermutations("Soundfingerprinting\\perms.csv", ","); Soundfingerprinting.DuplicatesDetector.DataAccess.Repository repository = new Soundfingerprinting.DuplicatesDetector.DataAccess.Repository(permutations); // Define track Soundfingerprinting.DuplicatesDetector.Model.Track track = new Soundfingerprinting.DuplicatesDetector.Model.Track { Title = name, Path = filename }; // Get the HashSignatures List<Soundfingerprinting.DuplicatesDetector.Model.HashSignature> signatures = repository.GetSignatures(fingerprints, track, 25, 4); return signatures; */ }
//private static Mfcc mfccOptimized = new Mfcc(WINDOW_SIZE, SAMPLING_RATE, MEL_COEFFICIENTS, MFCC_COEFFICIENTS); //private static MFCC mfccComirva = new MFCC(SAMPLING_RATE, WINDOW_SIZE, MFCC_COEFFICIENTS, true, 20.0, SAMPLING_RATE/2, MEL_COEFFICIENTS); #endif #region Methods public static bool AnalyzeAndAdd(FileInfo filePath, Db db, DatabaseService databaseService, bool doOutputDebugInfo=DEFAULT_DEBUG_INFO, bool useHaarWavelet = true) { DbgTimer t = new DbgTimer(); t.Start (); float[] audiodata = AudioFileReader.Decode(filePath.FullName, SAMPLING_RATE, SECONDS_TO_ANALYZE); if (audiodata == null || audiodata.Length == 0) { Dbg.WriteLine("Error! - No Audio Found"); return false; } // Read TAGs using BASS FindSimilar.AudioProxies.BassProxy bass = FindSimilar.AudioProxies.BassProxy.Instance; Un4seen.Bass.AddOn.Tags.TAG_INFO tag_info = bass.GetTagInfoFromFile(filePath.FullName); // Name of file being processed string name = StringUtils.RemoveNonAsciiCharacters(Path.GetFileNameWithoutExtension(filePath.Name)); #if DEBUG if (Analyzer.DEBUG_INFO_VERBOSE) { if (DEBUG_OUTPUT_TEXT) WriteAscii(audiodata, name + "_audiodata.ascii"); if (DEBUG_OUTPUT_TEXT) WriteF3Formatted(audiodata, name + "_audiodata.txt"); } #endif if (doOutputDebugInfo) { DrawGraph(MathUtils.FloatToDouble(audiodata), name + "_audiodata.png"); } // Calculate duration in ms double duration = (double) audiodata.Length / SAMPLING_RATE * 1000; // Explode samples to the range of 16 bit shorts (–32,768 to 32,767) // Matlab multiplies with 2^15 (32768) // e.g. if( max(abs(speech))<=1 ), speech = speech * 2^15; end; MathUtils.Multiply(ref audiodata, AUDIO_MULTIPLIER); // 65536 // zero pad if the audio file is too short to perform a mfcc if (audiodata.Length < (fingerprintingConfig.WdftSize + fingerprintingConfig.Overlap)) { int lenNew = fingerprintingConfig.WdftSize + fingerprintingConfig.Overlap; Array.Resize<float>(ref audiodata, lenNew); } // Get fingerprint signatures using the Soundfingerprinting methods IPermutations permutations = new LocalPermutations("Soundfingerprinting\\perms.csv", ","); Repository repository = new Repository(permutations, databaseService, fingerprintService); // Image Service ImageService imageService = new ImageService( fingerprintService.SpectrumService, fingerprintService.WaveletService); // work config WorkUnitParameterObject param = new WorkUnitParameterObject(); param.FingerprintingConfiguration = fingerprintingConfig; param.AudioSamples = audiodata; param.PathToAudioFile = filePath.FullName; param.MillisecondsToProcess = SECONDS_TO_ANALYZE * 1000; param.StartAtMilliseconds = 0; // build track Track track = new Track(); track.Title = name; track.TrackLengthMs = (int) duration; track.FilePath = filePath.FullName; track.Id = -1; // this will be set by the insert method #region parse tag_info if (tag_info != null) { Dictionary<string, string> tags = new Dictionary<string, string>(); //if (tag_info.title != string.Empty) tags.Add("title", tag_info.title); if (tag_info.artist != string.Empty) tags.Add("artist", tag_info.artist); if (tag_info.album != string.Empty) tags.Add("album", tag_info.album); if (tag_info.albumartist != string.Empty) tags.Add("albumartist", tag_info.albumartist); if (tag_info.year != string.Empty) tags.Add("year", tag_info.year); if (tag_info.comment != string.Empty) tags.Add("comment", tag_info.comment); if (tag_info.genre != string.Empty) tags.Add("genre", tag_info.genre); if (tag_info.track != string.Empty) tags.Add("track", tag_info.track); if (tag_info.disc != string.Empty) tags.Add("disc", tag_info.disc); if (tag_info.copyright != string.Empty) tags.Add("copyright", tag_info.copyright); if (tag_info.encodedby != string.Empty) tags.Add("encodedby", tag_info.encodedby); if (tag_info.composer != string.Empty) tags.Add("composer", tag_info.composer); if (tag_info.publisher != string.Empty) tags.Add("publisher", tag_info.publisher); if (tag_info.lyricist != string.Empty) tags.Add("lyricist", tag_info.lyricist); if (tag_info.remixer != string.Empty) tags.Add("remixer", tag_info.remixer); if (tag_info.producer != string.Empty) tags.Add("producer", tag_info.producer); if (tag_info.bpm != string.Empty) tags.Add("bpm", tag_info.bpm); //if (tag_info.filename != string.Empty) tags.Add("filename", tag_info.filename); tags.Add("channelinfo", tag_info.channelinfo.ToString()); //if (tag_info.duration > 0) tags.Add("duration", tag_info.duration.ToString()); if (tag_info.bitrate > 0) tags.Add("bitrate", tag_info.bitrate.ToString()); if (tag_info.replaygain_track_gain != -100f) tags.Add("replaygain_track_gain", tag_info.replaygain_track_gain.ToString()); if (tag_info.replaygain_track_peak != -1f) tags.Add("replaygain_track_peak", tag_info.replaygain_track_peak.ToString()); if (tag_info.conductor != string.Empty) tags.Add("conductor", tag_info.conductor); if (tag_info.grouping != string.Empty) tags.Add("grouping", tag_info.grouping); if (tag_info.mood != string.Empty) tags.Add("mood", tag_info.mood); if (tag_info.rating != string.Empty) tags.Add("rating", tag_info.rating); if (tag_info.isrc != string.Empty) tags.Add("isrc", tag_info.isrc); foreach(var nativeTag in tag_info.NativeTags) { string[] keyvalue = nativeTag.Split('='); tags.Add(keyvalue[0], keyvalue[1]); } track.Tags = tags; } #endregion double[][] logSpectrogram; if (repository.InsertTrackInDatabaseUsingSamples(track, 25, 4, param, out logSpectrogram)) { // store logSpectrogram as Matrix Comirva.Audio.Util.Maths.Matrix logSpectrogramMatrix = new Comirva.Audio.Util.Maths.Matrix(logSpectrogram); logSpectrogramMatrix = logSpectrogramMatrix.Transpose(); #region Debug for Soundfingerprinting Method if (doOutputDebugInfo) { imageService.GetLogSpectralImages(logSpectrogram, fingerprintingConfig.Stride, fingerprintingConfig.FingerprintLength, fingerprintingConfig.Overlap, 2).Save(name + "_specgram_logimages.png"); logSpectrogramMatrix.DrawMatrixImageLogValues(name + "_specgram_logimage.png", true); if (DEBUG_OUTPUT_TEXT) { logSpectrogramMatrix.WriteCSV(name + "_specgram_log.csv", ";"); } } #endregion #region Insert Statistical Cluster Model Similarity Audio Feature as well Comirva.Audio.Util.Maths.Matrix scmsMatrix = null; if (useHaarWavelet) { #region Wavelet Transform int lastHeight = 0; int lastWidth = 0; scmsMatrix = mfccMirage.ApplyWaveletCompression(ref logSpectrogramMatrix, out lastHeight, out lastWidth); #if DEBUG if (Analyzer.DEBUG_INFO_VERBOSE) { if (DEBUG_OUTPUT_TEXT) scmsMatrix.WriteAscii(name + "_waveletdata.ascii"); } #endif if (doOutputDebugInfo) { scmsMatrix.DrawMatrixImageLogValues(name + "_waveletdata.png", true); } #if DEBUG if (Analyzer.DEBUG_INFO_VERBOSE) { #region Inverse Wavelet // try to do an inverse wavelet transform Comirva.Audio.Util.Maths.Matrix stftdata_inverse_wavelet = mfccMirage.InverseWaveletCompression(ref scmsMatrix, lastHeight, lastWidth, logSpectrogramMatrix.Rows, logSpectrogramMatrix.Columns); if (DEBUG_OUTPUT_TEXT) stftdata_inverse_wavelet.WriteCSV(name + "_specgramlog_inverse_wavelet.csv", ";"); stftdata_inverse_wavelet.DrawMatrixImageLogValues(name + "_specgramlog_inverse_wavelet.png", true); #endregion } #endif #endregion } else { #region DCT Transform // It seems the Mirage way of applying the DCT is slightly faster than the // Comirva way due to less loops scmsMatrix = mfccMirage.ApplyDCT(ref logSpectrogramMatrix); #if DEBUG if (Analyzer.DEBUG_INFO_VERBOSE) { if (DEBUG_OUTPUT_TEXT) scmsMatrix.WriteAscii(name + "_mfccdata.ascii"); } #endif if (doOutputDebugInfo) { scmsMatrix.DrawMatrixImageLogValues(name + "_mfccdata.png", true); } #if DEBUG if (Analyzer.DEBUG_INFO_VERBOSE) { #region Inverse MFCC // try to do an inverse mfcc Comirva.Audio.Util.Maths.Matrix stftdata_inverse_mfcc = mfccMirage.InverseDCT(ref scmsMatrix); if (DEBUG_OUTPUT_TEXT) stftdata_inverse_mfcc.WriteCSV(name + "_stftdata_inverse_mfcc.csv", ";"); stftdata_inverse_mfcc.DrawMatrixImageLogValues(name + "_specgramlog_inverse_mfcc.png", true); #endregion } #endif #endregion } // Store in a Statistical Cluster Model Similarity class. // A Gaussian representation of a song Scms audioFeature = Scms.GetScms(scmsMatrix, name); if (audioFeature != null) { // Store image if debugging if (doOutputDebugInfo) { audioFeature.Image = scmsMatrix.DrawMatrixImageLogValues(name + "_featuredata.png", true, false, 0, 0, true); } // Store bitstring hash as well string hashString = GetBitString(scmsMatrix); audioFeature.BitString = hashString; // Store duration audioFeature.Duration = (long) duration; // Store file name audioFeature.Name = filePath.FullName; int id = track.Id; if (db.AddTrack(ref id, audioFeature) == -1) { Console.Out.WriteLine("Failed! Could not add audioFeature to database {0}!", name); } } #endregion } else { // failed return false; } Dbg.WriteLine ("AnalyzeAndAdd - Total Execution Time: {0} ms", t.Stop().TotalMilliseconds); return true; }
/// <summary> /// Method to analyse and add all the different types of audio features /// </summary> /// <param name="filePath">full file path</param> /// <param name="db">Scms database (Mirage)</param> /// <param name="repository">Soundfingerprinting Repository</param> /// <param name="doOutputDebugInfo">decide whether to output debug info like spectrogram and audiofile (default value can be set)</param> /// <param name="useHaarWavelet">decide whether to use haar wavelet compression or DCT compression</param> /// <returns>true if successful</returns> public static bool AnalyzeAndAddComplete(FileInfo filePath, Db db, Repository repository, bool doOutputDebugInfo=DEFAULT_DEBUG_INFO, bool useHaarWavelet = true) { DbgTimer t = new DbgTimer(); t.Start (); // get work config from the audio file WorkUnitParameterObject param = GetWorkUnitParameterObjectFromAudioFile(filePath); if (param == null) return false; param.FingerprintingConfiguration = fingerprintingConfigCreation; string fileName = param.FileName; // build track Track track = new Track(); track.Title = param.FileName; track.TrackLengthMs = (int) param.DurationInMs; track.FilePath = param.PathToAudioFile; track.Tags = param.Tags; track.Id = -1; // this will be set by the insert method double[][] logSpectrogram; List<bool[]> fingerprints; if (repository.InsertTrackInDatabaseUsingSamples(track, param.FingerprintingConfiguration.NumberOfHashTables, param.FingerprintingConfiguration.NumberOfKeys, param, out logSpectrogram, out fingerprints)) { // store logSpectrogram as Matrix try { Comirva.Audio.Util.Maths.Matrix logSpectrogramMatrix = new Comirva.Audio.Util.Maths.Matrix(logSpectrogram); logSpectrogramMatrix = logSpectrogramMatrix.Transpose(); #region Output debugging information (Saving spectrograms and/or csv files) if (doOutputDebugInfo) { logSpectrogramMatrix.DrawMatrixImageLogValues(fileName + "_matrix_spectrogram.png", true); if (DEBUG_OUTPUT_TEXT) { logSpectrogramMatrix.WriteCSV(fileName + "_matrix_spectrogram.csv", ";"); } // Save debug images using fingerprinting methods SaveFingerprintingDebugImages(fileName, logSpectrogram, fingerprints, repository.FingerprintService, param.FingerprintingConfiguration); } #endregion // Insert Statistical Cluster Model Similarity Audio Feature as well if (!AnalyseAndAddScmsUsingLogSpectrogram(logSpectrogramMatrix, param, db, track.Id, doOutputDebugInfo, useHaarWavelet)) { Dbg.WriteLine("AnalyzeAndAddComplete - Failed inserting Statistical Cluster Model Similarity Audio Feature"); // Failed, but ignore! } } catch (Exception e) { Dbg.WriteLine("AnalyzeAndAddComplete - Failed creating Statistical Cluster Model Similarity Audio Feature"); Dbg.WriteLine(e.Message); // Failed, but ignore! } } else { // Failed return false; } Dbg.WriteLine("AnalyzeAndAddComplete - Total Execution Time: {0} ms", t.Stop().TotalMilliseconds); return true; }