def PlotWaveformWClasses(k, feature_holder, classes): index_time_map = feature_holder.get_index_time_map() print "Original File:", feature_holder.filename # for each class k events = np.zeros((60 * 6 * 44100, 1)) segment_classes = GetClassFromSegment(k, index_time_map, classes) for i in sorted(segment_classes.keys()): # Find all time segments that go with this class timeSegments = [index_time_map[j] for j in sorted(segment_classes[i])] # Write all these time segments to a single file audioSegments, fs = af.get_arbitrary_file_segments( feature_holder.filename, timeSegments) for j in range(len(timeSegments)): print j, timeSegments[j] if (timeSegments[j][0] + timeSegments[j][1]) < 60 * 6: startIndex = int(timeSegments[j][0] * fs) endIndex = int( float(timeSegments[j][0] + timeSegments[j][1]) * fs) diff = len(audioSegments[j]) - len(events[startIndex:endIndex]) events[startIndex:endIndex + diff] = audioSegments[j] plt.plot(events[::100]) plt.show()
def PlotWaveformWClasses(k, feature_holder, classes): index_time_map = feature_holder.get_index_time_map() print "Original File:", feature_holder.filename # for each class k events = np.zeros((60*6*44100,1)) segment_classes = GetClassFromSegment(k, index_time_map, classes) for i in sorted(segment_classes.keys()): # Find all time segments that go with this class timeSegments = [ index_time_map[j] for j in sorted(segment_classes[i])] # Write all these time segments to a single file audioSegments, fs = af.get_arbitrary_file_segments(feature_holder.filename, timeSegments) for j in range(len(timeSegments)): print j, timeSegments[j] if (timeSegments[j][0]+timeSegments[j][1]) < 60*6: startIndex = int(timeSegments[j][0]*fs) endIndex = int(float(timeSegments[j][0]+timeSegments[j][1])*fs) diff = len(audioSegments[j])-len(events[startIndex:endIndex]) events[startIndex:endIndex+diff] = audioSegments[j] plt.plot(events[::100]);plt.show()
def WriteAudioFromClasses(k, feature_holder, classes): ''' given the class labels, write the audio associated with each one ''' index_time_map = feature_holder.get_index_time_map() print "Original File:", feature_holder.filename # for each class k segment_classes = GetClassFromSegment(k, index_time_map, classes) for i in sorted(segment_classes.keys()): # Find all time segments that go with this class timeSegments = [ index_time_map[j] for j in sorted(segment_classes[i])] #print timeSegments # Write all these time segments to a single file audioSegments, fs = af.get_arbitrary_file_segments(feature_holder.filename, timeSegments) resultDir = './results' af.write_segment_audio("%s/class-%d.wav" % (resultDir, i), audioSegments, fs)
def WriteAudioFromClasses(k, feature_holder, classes): ''' given the class labels, write the audio associated with each one ''' index_time_map = feature_holder.get_index_time_map() print "Original File:", feature_holder.filename # for each class k segment_classes = GetClassFromSegment(k, index_time_map, classes) for i in sorted(segment_classes.keys()): # Find all time segments that go with this class timeSegments = [index_time_map[j] for j in sorted(segment_classes[i])] #print timeSegments # Write all these time segments to a single file audioSegments, fs = af.get_arbitrary_file_segments( feature_holder.filename, timeSegments) resultDir = './results' af.write_segment_audio("%s/class-%d.wav" % (resultDir, i), audioSegments, fs)