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"""Script to generate melody annotations from pitch annotations files"""
from __future__ import print_function
import argparse
import os
import csv
import numpy as np
import medleydb
HOP = 256.0 # samples
FS = 44100.0 # samples/second
def get_time_stamps(total_duration, fs, hop):
"""Get an array of evenly spaced time stamps.
Parameters
----------
total_duration : float
Duration in seconds
fs : float
Sample rate (samples/second)
hop : float
Hop size (samples)
Returns
-------
time_stamps : np.array
Array of evenly spaced time stamps.
"""
time_stamps = []
n_stamps = int(np.ceil((total_duration * fs) / hop))
time_stamps = np.arange(n_stamps) * (hop / fs)
return time_stamps
def make_blank_melody_sequence(total_duration, fs, hop):
"""Make a melody sequence with f0 values equal to 0.
Parameters
----------
total_duration : float
Duration in seconds
fs : float
Sample rate (samples/second)
hop : float
Hop size (samples)
Returns
-------
melody_sequence : np.array
A melody sequence with a column of time stamps and a column of zeros
"""
time_stamps = get_time_stamps(total_duration, fs, hop)
melody_sequence = np.zeros((len(time_stamps), 2))
for i, time_stamp in enumerate(time_stamps):
melody_sequence[i][0] = time_stamp
return melody_sequence
def sec_to_idx(time_in_seconds, fs, hop):
"""Convert an array of times in seconds to the nearest evenly spaced indices
Parameters
----------
time_in_seconds : array-like
Time values in seconds
fs : float
Sample rate (samples/second)
hop : float
Hop size (samples)
Returns
-------
time_idx : array-like
Indices of closest time values
"""
return int(np.round(time_in_seconds * float(fs) / float(hop)))
def add_sequence_to_melody(total_duration, f0_sequence, melody_sequence, fs,
hop, dim=1, start_t=0, end_t=-1):
"""Add an f0 sequence to a melody.
Parameters
----------
total_duration : float
Track duration in seconds
f0_sequence : list or None
List of time (seconds), frequency (Hz) pairs
melody_sequence : np.array
Melody conainer. First column is time stamps
fs : float
Sample rate (samples/second)
hop : float
Hop size (samples)
dim : int, default=1
Column index to add melody sequence to
start_t : float, default=0
Start time of melody sequence
end_t : float, default=-1
End time of melody sequence. -1 defaults to track_duration
Returns
-------
melody_sequence : np.array
Sequence of melody values with newly added values
"""
if start_t < 0:
start_t = 0
if end_t > total_duration:
end_t = total_duration
start_idx = sec_to_idx(start_t, fs, hop)
if end_t == -1:
end_idx = sec_to_idx(total_duration, fs, hop)
else:
end_idx = sec_to_idx(end_t, fs, hop)
if f0_sequence:
for time_freq in f0_sequence:
time = time_freq[0]
freq = time_freq[1]
time_idx = sec_to_idx(time, fs, hop)
if time_idx >= start_idx and time_idx < end_idx:
melody_sequence[time_idx][dim] = freq
return melody_sequence
def create_melody1_annotation(mtrack, fs=FS, hop=HOP):
"""Create a melody1 annotation from pitch annotations
Parameters
----------
mtrack : Multitrack
Multitrack object
fs : float
Sample rate (samples/second)
hop : float
Hop size (samples)
Returns
-------
melody1 : np.array or None
Melody 1 annotation if a predominant stem exists, else None
"""
predominant_stem = mtrack.predominant_stem
if predominant_stem is not None:
f0_annotation = predominant_stem.pitch_annotation
print(f0_annotation)
melody_sequence = make_blank_melody_sequence(mtrack.duration, fs, hop)
melody1 = add_sequence_to_melody(
mtrack.duration, f0_annotation, melody_sequence, fs, hop
)
else:
melody1 = None
return melody1
def create_melody2_annotation(mtrack, fs=FS, hop=HOP):
"""Create a melody2 annotation from pitch annotations
Parameters
----------
mtrack : Multitrack
Multitrack object
fs : float
Sample rate (samples/second)
hop : float
Hop size (samples)
Returns
-------
melody2 : np.array or None
Melody 2 annotation if an intervals file exists, else None
"""
if os.path.exists(mtrack.melody_intervals_fpath):
intervals = []
with open(mtrack.melody_intervals_fpath, 'rU') as fhandle:
linereader = csv.reader(fhandle, delimiter='\t')
for line in linereader:
start_t = float(line[0])
end_t = float(line[1])
stem_idx = int(line[2])
intervals.append([stem_idx, start_t, end_t])
melody_sequence = make_blank_melody_sequence(mtrack.duration, fs, hop)
for interval in intervals:
stem = mtrack.stems[interval[0]]
start_t = interval[1]
end_t = interval[2]
f0_annotation = stem.pitch_annotation
if f0_annotation is not None:
melody_sequence = add_sequence_to_melody(
mtrack.duration, f0_annotation, melody_sequence, fs, hop,
start_t=start_t, end_t=end_t
)
else:
print("Warning: stem %s has no annotation" % interval[0])
melody2 = melody_sequence
else:
melody2 = None
return melody2
def create_melody3_annotation(mtrack, fs=FS, hop=HOP):
"""Create a melody3 annotation from pitch annotations
Parameters
----------
mtrack : Multitrack
Multitrack object
fs : float
Sample rate (samples/second)
hop : float
Hop size (samples)
Returns
-------
melody3 : np.array or None
Melody 3 annotation if a rankings file exists, else None
"""
melody_rankings = mtrack.melody_rankings
if melody_rankings != {}:
inverse_rankings = dict((v, k) for k, v in melody_rankings.items())
melody_sequence = make_blank_melody_sequence(mtrack.duration, fs, hop)
dim = 1
first = True
for k in sorted(inverse_rankings.keys()):
if not first:
n, m = melody_sequence.shape
temp_mel = np.zeros((n, m + 1))
temp_mel[:, :-1] = melody_sequence
melody_sequence = temp_mel
dim += 1
first = False
stem = mtrack.stems[inverse_rankings[k]]
f0_annotation = stem.pitch_annotation
melody_sequence = add_sequence_to_melody(
mtrack.duration, f0_annotation, melody_sequence,
fs, hop, dim=dim
)
melody3 = melody_sequence
else:
melody3 = None
return melody3
def write_melodies_to_csv(mtrack, melody1, melody2, melody3):
"""Write melodies to csv files in the correct directory.
Parameters
----------
mtrack : Multitrack
Multitrack object
melody1 : np.array
Melody 1 annotation
melody2 : np.array
Melody 2 annotation
melody3 : np.array
Melody 3 annotation
"""
if melody1 is not None:
print("writing melody 1...")
with open(mtrack.melody1_fpath, "w") as fhandle:
writer = csv.writer(fhandle)
writer.writerows(melody1)
else:
print("melody 1 empty")
if melody2 is not None:
print("writing melody 2...")
with open(mtrack.melody2_fpath, "w") as fhandle:
writer = csv.writer(fhandle)
writer.writerows(melody2)
else:
print("melody 2 empty")
if melody3 is not None:
print("writing melody 3...")
with open(mtrack.melody3_fpath, "w") as fhandle:
writer = csv.writer(fhandle)
writer.writerows(melody3)
else:
print("melody 3 empty")
def main(args):
"""Main function to create melody annotations for a multitrack.
"""
mtrack = medleydb.MultiTrack(args.track_id)
melody1 = create_melody1_annotation(mtrack)
melody2 = create_melody2_annotation(mtrack)
melody3 = create_melody3_annotation(mtrack)
if args.write_output:
write_melodies_to_csv(mtrack, melody1, melody2, melody3)
if __name__ == "__main__":
parser = argparse.ArgumentParser(description="")
parser.add_argument("track_id",
type=str,
help="MedleyDB track id. Ex. MusicDelta_Rock")
parser.add_argument("write_output",
type=bool,
default=True,
help="If true, write the output to a file")
main(parser.parse_args())
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