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Anjok07 2020-11-09 13:52:31 -06:00 committed by GitHub
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import argparse
import os
import subprocess
import librosa
import numpy as np
import soundfile as sf
from tqdm import tqdm
from lib import spec_utils
if __name__ == '__main__':
p = argparse.ArgumentParser()
p.add_argument('--sr', '-r', type=int, default=44100)
p.add_argument('--hop_length', '-l', type=int, default=1024)
p.add_argument('--pitch', '-p', type=int, default=-2)
p.add_argument('--mixture_dataset', '-m', required=True)
p.add_argument('--instrumental_dataset', '-i', required=True)
args = p.parse_args()
input_exts = ['.wav', '.m4a', '.3gp', '.oma', '.mp3', '.mp4']
X_list = sorted([
os.path.join(args.mixture_dataset, fname)
for fname in os.listdir(args.mixture_dataset)
if os.path.splitext(fname)[1] in input_exts])
y_list = sorted([
os.path.join(args.instrumental_dataset, fname)
for fname in os.listdir(args.instrumental_dataset)
if os.path.splitext(fname)[1] in input_exts])
input_i = 'input_i_{}.wav'.format(args.pitch)
input_v = 'input_v_{}.wav'.format(args.pitch)
output_i = 'output_i_{}.wav'.format(args.pitch)
output_v = 'output_v_{}.wav'.format(args.pitch)
cmd_i = 'soundstretch {} {} -pitch={}'.format(input_i, output_i, args.pitch)
cmd_v = 'soundstretch {} {} -pitch={}'.format(input_v, output_v, args.pitch)
suffix = '_pitch{}.npy'.format(args.pitch)
filelist = list(zip(X_list, y_list))
for mix_path, inst_path in tqdm(filelist):
X, _ = librosa.load(
mix_path, args.sr, False, dtype=np.float32, res_type='kaiser_fast')
y, _ = librosa.load(
inst_path, args.sr, False, dtype=np.float32, res_type='kaiser_fast')
X, _ = librosa.effects.trim(X)
y, _ = librosa.effects.trim(y)
X, y = spec_utils.align_wave_head_and_tail(X, y, args.sr)
v = X - y
sf.write(input_i, y.T, args.sr)
sf.write(input_v, v.T, args.sr)
subprocess.call(cmd_i, stderr=subprocess.DEVNULL)
subprocess.call(cmd_v, stderr=subprocess.DEVNULL)
y, _ = librosa.load(
output_i, args.sr, False, dtype=np.float32, res_type='kaiser_fast')
v, _ = librosa.load(
output_v, args.sr, False, dtype=np.float32, res_type='kaiser_fast')
X = y + v
spec = spec_utils.calc_spec(X, args.hop_length)
basename, _ = os.path.splitext(os.path.basename(mix_path))
outpath = os.path.join(args.mixture_dataset, basename + suffix)
np.save(outpath, np.abs(spec))
spec = spec_utils.calc_spec(y, args.hop_length)
basename, _ = os.path.splitext(os.path.basename(inst_path))
outpath = os.path.join(args.instrumental_dataset, basename + suffix)
np.save(outpath, np.abs(spec))
os.remove(input_i)
os.remove(input_v)
os.remove(output_i)
os.remove(output_v)