| def istft(stft_matrix, hop_length=None, win_length=None, window='hann', | |
| center=True, normalized=False, onesided=True, length=None): | |
| """stft_matrix = (batch, freq, time, complex) | |
| All based on librosa | |
| - http://librosa.github.io/librosa/_modules/librosa/core/spectrum.html#istft | |
| What's missing? | |
| - normalize by sum of squared window --> do we need it here? | |
| Actually the result is ok by simply dividing y by 2. | |
| """ |
| import torch | |
| import torch.nn.functional as F | |
| EPS = 1e-7 | |
| def _enhance_either_hpss(x_padded, out, kernel_size, power, which, offset): | |
| """x_padded: one that median filtering can be directly applied | |
| kernel_size = int | |
| dim: either 2 (freq-axis) or 3 (time-axis) | |
| which: str, either "harm" or "perc" |
| from __future__ import division | |
| from numpy.fft import rfft | |
| from numpy import argmax, mean, diff, log | |
| from matplotlib.mlab import find | |
| from scipy.signal import blackmanharris, fftconvolve | |
| from time import time | |
| import sys | |
| try: | |
| import soundfile as sf | |
| except ImportError: |
With autofs you can easily mount network volumes upon first access to the folder where you want to mount the volume. Autofs is available for many OS and is preinstalled on Mac OS X so I show you how I mounted my iTunes library folder using this method.
autofs needs to be configured so that it knows where to gets its configuration. Edit the file '/etc/auto_master' and add the last line:
#
# Automounter master map
#
+auto_master # Use directory service