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