Delete augment.py

augment.py

@@ -1,76 +0,0 @@
-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)