import soundfile as sf
import torch
from scipy.io import wavfile
import os
import numpy as np
# !/usr/bin/env python
# Created on 2018/12
# Author: Kaituo XU
# Edited by: yoonsanghyu
import argparse
import os
from nbss.NBSS import NBSS
import soundfile as sf
from scipy.io import wavfile
import librosa
import torch
import numpy as np
from collections import OrderedDict
from tqdm import tqdm
# from FaSNet import FaSNet_TAC
from D2Net.mc_bss_D2NET import Net
parser = argparse.ArgumentParser('Separate speech using FaSNet + TAC')
parser.add_argument('--model_path', type=str, default='exp/tmp/mc_D2Net_whamr_seperation/temp_best.pth.tar',
help='Path to model file created by training')
parser.add_argument('--test_dir', type=str,
default="/home/weiWB/dataset/speech_seperation/mc_whamr/wav8k/S1_S2_rir_noise_tt_list",
help&
process a statement
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Origin blog.csdn.net/qq_42019881/article/details/127061915
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