run_wpe.py
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#!/usr/bin/env python
# Copyright 2018 Johns Hopkins University (Author: Aswin Shanmugam Subramanian)
# Apache 2.0
# Works with both python2 and python3
# This script assumes that WPE (nara_wpe) is installed locally using miniconda.
# ../../../tools/extras/install_miniconda.sh and ../../../tools/extras/install_wpe.sh
# needs to be run and this script needs to be launched run with that version of
# python.
# See local/run_wpe.sh for example.
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)