run_wpe.py
1.25 KB
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
#!/usr/bin/env python
# Copyright 2018 Johns Hopkins University (Author: Aswin Shanmugam Subramanian)
# Apache 2.0
# Works with both python2 and python3
import numpy as np
import soundfile as sf
import time
import os, errno
from tqdm import tqdm
import argparse
from nara_wpe.wpe import wpe
from nara_wpe.utils import stft, istft
from nara_wpe import project_root
parser = argparse.ArgumentParser()
parser.add_argument('--files', '-f', nargs='+')
args = parser.parse_args()
input_files = args.files[:len(args.files)//2]
output_files = args.files[len(args.files)//2:]
out_dir = os.path.dirname(output_files[0])
try:
os.makedirs(out_dir)
except OSError as e:
if e.errno != errno.EEXIST:
raise
stft_options = dict(
size=512,
shift=128,
window_length=None,
fading=True,
pad=True,
symmetric_window=False
)
sampling_rate = 16000
delay = 3
iterations = 5
taps = 10
signal_list = [
sf.read(f)[0]
for f in input_files
]
y = np.stack(signal_list, axis=0)
Y = stft(y, **stft_options).transpose(2, 0, 1)
Z = wpe(Y, iterations=iterations, statistics_mode='full').transpose(1, 2, 0)
z = istft(Z, size=stft_options['size'], shift=stft_options['shift'])
for d in range(len(signal_list)):
sf.write(output_files[d], z[d,:], sampling_rate)