def calibrate_param(data_path):
# load data
X, y, mapping = load_data(data_path)
full_band_energy = 0
unvoiced_buffer = []
for i in range(N):
f = Frame(X[i], y[i])
temp = f.calculate_full_band_energy(X[i])
# add noise frame to noise buffer
unvoiced_buffer.append(temp)
full_band_energy += temp
full_band_avarage = full_band_energy / N
return full_band_avarage, unvoiced_buffer
mapping = np.array(data["mapping"])
return X, y
# main
if __name__ == '__main__':
X_voice, y_voice = load_data(DATA_PATH_VOICE)
X_noise, y_noise = load_data(DATA_PATH_NOISE)
energy_voice = 0
counter = 0
temp = 0
for (samples, c) in zip(X_voice, y_voice):
f = Frame(samples, c)
temp = f.calculate_full_band_energy(f.samples)
energy_voice += temp
counter += 1
energy_voice = energy_voice / counter
energy_noise = 0
counter = 0
temp = 0
for (samples, c) in zip(X_noise, y_noise):
f = Frame(samples, c)
temp = f.calculate_full_band_energy(f.samples)
energy_noise += temp
counter += 1
