-
Notifications
You must be signed in to change notification settings - Fork 4
/
musdb_augment.py
55 lines (46 loc) · 1.52 KB
/
musdb_augment.py
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
"""
Augment the musdb dataset
usage: python musdb_augment.py [options] <musdb-root>
options:
-h, --help Show help message.
"""
import musdb
import librosa
import librosa.output
import librosa.effects
import numpy as np
import os
#from docopt import docopt
import sys
from tqdm import tqdm
def pitch_shift(wav, steps):
sr = 44100
wav = librosa.to_mono(wav.T)
return librosa.effects.pitch_shift(wav, sr, n_steps=steps)
def save_tracks(mixture, vocals, path):
sr = 44100
mixture = np.clip(mixture, -0.999, 0.999)
os.makedirs(path, exist_ok=True)
librosa.output.write_wav(os.path.join(path, "mixture.wav"), mixture, sr)
librosa.output.write_wav(os.path.join(path, "vocals.wav"), vocals, sr)
if __name__=="__main__":
#args = docopt(__doc__)
#root_dir = args["<musdb-root>"]
root_dir = sys.argv[1]
mus = musdb.DB(root_dir=root_dir, is_wav=True)
tracks = mus.load_mus_tracks(subsets=["train"])
sr = 44100
out_dir = os.path.join(root_dir, "augment")
for track in tqdm(tracks):
name = track.name
vocals = track.targets["vocals"].audio
acc = track.targets["accompaniment"].audio
acc = librosa.to_mono(acc.T)
yvocals = pitch_shift(vocals, 3)
mixture = acc + yvocals
path = os.path.join(out_dir, name+"_up")
save_tracks(mixture, yvocals, path)
yvocals = pitch_shift(vocals, -3)
mixture = acc + yvocals
path = os.path.join(out_dir, name+"_down")
save_tracks(mixture, yvocals, path)