# CREATED:2013-08-22 12:20:01 by Brian McFee <*****@*****.**>
'''Music segmentation using timbre, pitch, repetition and time.
If run as a program, usage is:
'''
import sys
import os
import cPickle as pickle
import segmenter
def features(input_song):
with open(input_song, 'r') as f:
data = pickle.load(f)
return data['features'], data['beats']
if __name__ == '__main__':
parameters = segmenter.process_arguments(sys.argv[1:])
# Load the features
print '- ', os.path.basename(parameters['input_song'])
X, beats = features(parameters['input_song'])
segmenter.lsd(X[0], X[1], beats, parameters)
def make_jams(levels, labels, beats):
J = jams.Jams()
J.metadata.duration = beats[-1]
annotation = J.sections.create_annotation()
make_metadata(annotation)
for tag, bounds in zip(labels, levels):
add_level(annotation, tag, make_intervals(bounds, beats))
return J
if __name__ == '__main__':
parameters = segmenter.process_arguments()
# Load the features
print '- ', os.path.basename(parameters['input_song'])
X, beats = segmenter.features(parameters['input_song'])
# Load the boundary transformation
W_bound = segmenter.load_transform(parameters['transform_boundary'])
print '\tapplying boundary transformation...'
X_bound = W_bound.dot(X)
# Find the segment boundaries
print '\tpredicting segments...'
kmin, kmax = segmenter.get_num_segs(beats[-1])
levels, labels = get_all_levels(X_bound, kmin, kmax)
#!/usr/bin/env python
# CREATED:2013-08-22 12:20:01 by Brian McFee <*****@*****.**>
'''Music segmentation using timbre, pitch, repetition and time.
If run as a program, usage is:
'''
import sys
import os
import cPickle as pickle
import segmenter
def features(input_song):
with open(input_song, 'r') as f:
data = pickle.load(f)
return data['features'], data['beats']
if __name__ == '__main__':
parameters = segmenter.process_arguments(sys.argv[1:])
# Load the features
print '- ', os.path.basename(parameters['input_song'])
X, beats = features(parameters['input_song'])
segmenter.lsd(X[0], X[1], beats, parameters)
