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import sys
import numpy as np
import ailia.audio as ailia_audio
# ======================
# Pre/Post process
# ======================
def preemphasis(data, coeff=0.97):
return ailia_audio.linerfilter(np.array([1,-coeff]), np.array([1]), data).astype(np.float32)
def inv_preemphasis(data, coeff=0.97):
return ailia_audio.linerfilter(np.array([1]), np.array([1,-coeff]), data).astype(np.float32)
def lowpass(data, stop_freq, sample_freq, N=4):
if( stop_freq == 10000 and sample_freq == 22050) or ( stop_freq == 20000 and sample_freq == 44100):
b = np.array([0.68166451, 2.72665802, 4.08998703, 2.72665802, 0.68166451])
a = np.array([1. , 3.238043, 3.99120175, 2.21272074, 0.4646666 ])
else:
raise ValueError('illegal sample freqency.')
data = ailia_audio.filterfilter(b,a, data)
return data
def tfconvert(x, window_len, hop_len, mult, window='hann') :
y = ailia_audio.spectrogram(x, fft_n=window_len, hop_n=hop_len, center_mode=2, norm_type="scipy",win_type=window)
y_re = np.real(y) * (window_len//2 + 1)
y_im = np.imag(y) * (window_len//2 + 1)
y_mag = np.log(np.sqrt(y_re ** 2 + y_im ** 2)+1.0).astype(np.float32)
y_phase = np.arctan2(y_im, y_re).astype(np.float32)
y_mag = zero_pad(y_mag, mult)
y_phase = zero_pad(y_phase, mult)
return y_mag, y_phase
def zero_pad(x, mult) :
mod = x.shape[2] % mult
if mod > 0 :
pad = mult - mod
x = np.concatenate(( x, np.zeros((x.shape[0], x.shape[1], pad), dtype=np.float32) ), axis=2)
return x
def calc_time(sample_len ,sr) :
quot = sample_len // sr
rem = (sample_len % sr) / sr
min = quot // 60
sec = quot % 60 + rem
print('Time length : {}min {:.02f}sec'.format(min,sec))
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