File size: 2,060 Bytes
a158d14
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
#!/usr/bin/python3
# -*- coding: utf-8 -*-
import argparse
from pathlib import Path

import numpy as np
from python_speech_features import sigproc
from scipy.io import wavfile
from tqdm import tqdm

from project_settings import project_path


area_code = 1


def get_args():
    parser = argparse.ArgumentParser()
    parser.add_argument(
        "--segmented_dir",
        default=(project_path / "data/2s_wav/{area_code}".format(area_code=area_code)).as_posix(),
        type=str
    )
    parser.add_argument(
        "--templates_dir",
        default=(project_path / "data/early_media_template/{area_code}".format(area_code=area_code)).as_posix(),
        type=str
    )
    parser.add_argument(
        "--wav_dir",
        default=(project_path / "data/wav/{area_code}".format(area_code=area_code)).as_posix(),
        type=str
    )
    parser.add_argument("--win_size", default=2.0, type=float)
    parser.add_argument("--win_len", default=2.0, type=float)
    args = parser.parse_args()
    return args


def main():
    args = get_args()

    segmented_dir = Path(args.segmented_dir)
    templates_dir = Path(args.templates_dir)
    wav_dir = Path(args.wav_dir)

    segmented_dir.mkdir(parents=True, exist_ok=True)
    templates_dir.mkdir(parents=True, exist_ok=True)

    for filename in tqdm(wav_dir.glob("*/*.wav")):
        # print(filename)

        sample_rate, signal = wavfile.read(filename)
        if len(signal) < args.win_size * sample_rate:
            continue

        frames = sigproc.framesig(
            sig=signal,
            frame_len=args.win_size * sample_rate,
            frame_step=args.win_len * sample_rate,
            # winfunc=np.hamming
        )

        for j, frame in enumerate(frames):
            to_filename = segmented_dir / "{}_{}.wav".format(filename.stem, j)

            frame = np.array(frame, dtype=np.int16)
            wavfile.write(
                filename=to_filename,
                rate=sample_rate,
                data=frame
            )

    return


if __name__ == '__main__':
    main()