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Add multiprocessing to accelerate preprocess. #16

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34 changes: 17 additions & 17 deletions preprocess.py
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Original file line number Diff line number Diff line change
@@ -1,7 +1,7 @@
#! python
# -*- coding: utf-8 -*-
# Author: kun
# @Time: 2019-07-23 14:26
# Author: kun, winlaic
# @Time: 2021-10-13 19:17


import librosa
Expand All @@ -11,6 +11,9 @@
from pprint import pprint
import librosa.display
import time
from multiprocessing import Pool
from tqdm import tqdm
from functools import partial


def load_wavs(wav_dir, sr):
Expand Down Expand Up @@ -53,23 +56,20 @@ def world_encode_spectral_envelop(sp, fs, dim=24):
return coded_sp


def world_encode_data(wave, fs, frame_period=5.0, coded_dim=24):
f0s = list()
timeaxes = list()
sps = list()
aps = list()
coded_sps = list()
for wav in wave:
f0, timeaxis, sp, ap = world_decompose(wav=wav,
def world_encode_single_data(wav, fs, frame_period, coded_dim):
f0, timeaxis, sp, ap = world_decompose(wav=wav,
fs=fs,
frame_period=frame_period)
coded_sp = world_encode_spectral_envelop(sp=sp, fs=fs, dim=coded_dim)
f0s.append(f0)
timeaxes.append(timeaxis)
sps.append(sp)
aps.append(ap)
coded_sps.append(coded_sp)
return f0s, timeaxes, sps, aps, coded_sps
coded_sp = world_encode_spectral_envelop(sp=sp, fs=fs, dim=coded_dim)
return f0, timeaxis, sp, ap, coded_sp

def world_encode_data(wave, fs, frame_period=5.0, coded_dim=24):
wrapped = partial(world_encode_single_data, fs=fs, frame_period=frame_period, coded_dim=coded_dim)
with Pool(16) as pool:
ret = list(tqdm(pool.imap(wrapped, wave), total=len(wave)))

return list(map(list, zip(*ret)))



def logf0_statistics(f0s):
Expand Down