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import multiprocessing | |
import os | |
import sys | |
from scipy import signal | |
now_dir = os.getcwd() | |
sys.path.append(now_dir) | |
print(sys.argv) | |
inp_root = sys.argv[1] | |
sr = int(sys.argv[2]) | |
n_p = int(sys.argv[3]) | |
exp_dir = sys.argv[4] | |
noparallel = sys.argv[5] == "True" | |
per = float(sys.argv[6]) | |
import multiprocessing | |
import os | |
import traceback | |
import librosa | |
import numpy as np | |
from scipy.io import wavfile | |
from infer.lib.audio import load_audio | |
from infer.lib.slicer2 import Slicer | |
mutex = multiprocessing.Lock() | |
f = open("%s/preprocess.log" % exp_dir, "a+") | |
def println(strr): | |
mutex.acquire() | |
print(strr) | |
f.write("%s\n" % strr) | |
f.flush() | |
mutex.release() | |
class PreProcess: | |
def __init__(self, sr, exp_dir, per=3.0): | |
self.slicer = Slicer( | |
sr=sr, | |
threshold=-42, | |
min_length=1500, | |
min_interval=400, | |
hop_size=15, | |
max_sil_kept=500, | |
) | |
self.sr = sr | |
self.bh, self.ah = signal.butter(N=5, Wn=48, btype="high", fs=self.sr) | |
self.per = per | |
self.overlap = 0.3 | |
self.tail = self.per + self.overlap | |
self.max = 0.9 | |
self.alpha = 0.75 | |
self.exp_dir = exp_dir | |
self.gt_wavs_dir = "%s/0_gt_wavs" % exp_dir | |
self.wavs16k_dir = "%s/1_16k_wavs" % exp_dir | |
os.makedirs(self.exp_dir, exist_ok=True) | |
os.makedirs(self.gt_wavs_dir, exist_ok=True) | |
os.makedirs(self.wavs16k_dir, exist_ok=True) | |
def norm_write(self, tmp_audio, idx0, idx1): | |
tmp_max = np.abs(tmp_audio).max() | |
if tmp_max > 2.5: | |
print("%s-%s-%s-filtered" % (idx0, idx1, tmp_max)) | |
return | |
tmp_audio = (tmp_audio / tmp_max * (self.max * self.alpha)) + ( | |
1 - self.alpha | |
) * tmp_audio | |
wavfile.write( | |
"%s/%s_%s.wav" % (self.gt_wavs_dir, idx0, idx1), | |
self.sr, | |
tmp_audio.astype(np.float32), | |
) | |
tmp_audio = librosa.resample( | |
tmp_audio, orig_sr=self.sr, target_sr=16000 | |
) # , res_type="soxr_vhq" | |
wavfile.write( | |
"%s/%s_%s.wav" % (self.wavs16k_dir, idx0, idx1), | |
16000, | |
tmp_audio.astype(np.float32), | |
) | |
def pipeline(self, path, idx0): | |
try: | |
audio = load_audio(path, self.sr) | |
# zero phased digital filter cause pre-ringing noise... | |
# audio = signal.filtfilt(self.bh, self.ah, audio) | |
audio = signal.lfilter(self.bh, self.ah, audio) | |
idx1 = 0 | |
for audio in self.slicer.slice(audio): | |
i = 0 | |
while 1: | |
start = int(self.sr * (self.per - self.overlap) * i) | |
i += 1 | |
if len(audio[start:]) > self.tail * self.sr: | |
tmp_audio = audio[start : start + int(self.per * self.sr)] | |
self.norm_write(tmp_audio, idx0, idx1) | |
idx1 += 1 | |
else: | |
tmp_audio = audio[start:] | |
idx1 += 1 | |
break | |
self.norm_write(tmp_audio, idx0, idx1) | |
println("%s->Suc." % path) | |
except: | |
println("%s->%s" % (path, traceback.format_exc())) | |
def pipeline_mp(self, infos): | |
for path, idx0 in infos: | |
self.pipeline(path, idx0) | |
def pipeline_mp_inp_dir(self, inp_root, n_p): | |
try: | |
infos = [ | |
("%s/%s" % (inp_root, name), idx) | |
for idx, name in enumerate(sorted(list(os.listdir(inp_root)))) | |
] | |
if noparallel: | |
for i in range(n_p): | |
self.pipeline_mp(infos[i::n_p]) | |
else: | |
ps = [] | |
for i in range(n_p): | |
p = multiprocessing.Process( | |
target=self.pipeline_mp, args=(infos[i::n_p],) | |
) | |
ps.append(p) | |
p.start() | |
for i in range(n_p): | |
ps[i].join() | |
except: | |
println("Fail. %s" % traceback.format_exc()) | |
def preprocess_trainset(inp_root, sr, n_p, exp_dir, per): | |
pp = PreProcess(sr, exp_dir, per) | |
println("start preprocess") | |
println(sys.argv) | |
pp.pipeline_mp_inp_dir(inp_root, n_p) | |
println("end preprocess") | |
if __name__ == "__main__": | |
preprocess_trainset(inp_root, sr, n_p, exp_dir, per) | |