blind_intro_path = find_Blind_intro()
my_audio = Audio(blind_intro_path)
filter1 = Filter(16, 60, sub_low.get_gain(), my_audio)
filter2 = Filter(60, 250, low.get_gain(), my_audio)
filter3 = Filter(250, 2000, mid_low.get_gain(), my_audio)
filter4 = Filter(2000, 4000, mid_high.get_gain(), my_audio)
filter5 = Filter(4000, 6000, high.get_gain(), my_audio)
filter6 = Filter(6000, 16000, bright.get_gain(), my_audio)
bank_of_filters = Filter_Bank(
[filter1, filter2, filter3, filter4, filter5, filter6])
new_audio = bank_of_filters.apply_and_sum(my_audio)
new_audio = Audio(wav_path=None,
sampling_rate=my_audio.get_sampling_rate(),
data=new_audio)
new_audio.save_audio('new_Blind_intro.wav')
try:
dump_plots = input(
'Do you want to see filter and waveform plots?(Y/N) ')
if dump_plots == 'Y' or dump_plots == 'y':
print('**Curve labels**')
print('RED: Digital filter.')
print('BLUE: Analog filter.')
print('GREEN: Warped frequencies analog filter.')
my_audio.print_audio('Blind_intro')
new_audio.print_audio('new_Blind_intro')
my_audio.print_fft('Blind_intro_fft')
new_audio.print_fft('new_Blind_intro_fft')
bank_of_filters.dump_all_plots()
except KeyboardInterrupt:
print('\nBye!')
exit(0)
