def meanLoudness(segments, beats):
"""
Returns a loudness vector that is the mean of the loudness values of any segments
that overlap this AudioQuantum.
"""
loudness = []
for beat in beats:
segs = segments.that(selection.are_contained_by(beat))
if(len(segs) == 0): segs = segments.that(selection.start_during(beat))
if(len(segs) == 0): segs = segments.that(selection.overlap(beat))
values = [seg.loudness_max for seg in segments.that(selection.are_contained_by
(beat))]
loudness.append([sum(values)/len(segs)]*6)
return loudness
"""
def meanTimbre(segments, beats):
"""
Returns a timbre vector that is the mean of the timbre vectors of any segments
that overlap this AudioQuantum.
"""
timbre = []
for beat in beats:
temp = [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0]
segs = segments.that(selection.are_contained_by(beat))
if(len(segs) == 0): segs = segments.that(selection.start_during(beat))
if(len(segs) == 0): segs = segments.that(selection.overlap(beat))
for seg in segs:
for index, tim in enumerate(seg.pitches):
temp[index] = temp[index] + tim
timbre.append([float(tim / len(segs)) for tim in temp])
return timbre
def meanPitches(segments, beats):
"""
Returns a pitch vector that is the mean of the pitch vectors of any segments
that overlap this AudioQuantum.
"""
pitches = []
for beat in beats:
temp_pitches = [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0]
segs = segments.that(selection.are_contained_by(beat))
if(len(segs) == 0): segs = segments.that(selection.start_during(beat))
if(len(segs) == 0): segs = segments.that(selection.overlap(beat))
for seg in segs:
for index, pitch in enumerate(seg.pitches):
temp_pitches[index] = temp_pitches[index] + pitch
pitches.append([float(pitch / len(segs)) for pitch in temp_pitches])
return pitches