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)
