except KeyboardInterrupt: print('\nBye!') exit(0) 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()