def main():
if len(sys.argv) < 3:
sys.exit("Usage: python main.py <input .wav file name> <output .wav file name>")
_, input_filename, output_filename = sys.argv
pcm_audio = PcmAudio.from_wave_file(input_filename)
synthesized_pcm_audio = resynthesize(pcm_audio)
synthesized_pcm_audio.to_wave_file(output_filename)
def resynthesize(reference_pcm_audio):
Spectrogram(reference_pcm_audio.samples).to_tga_file(
"reference_spectrogram.tga")
algorithm = GeneticAlgorithm()
best_score = None
pcm_audio = None
sounds = []
if os.path.exists("base.wav"):
print "Using 'base.wav' as a base sound for additive sythesis"
pcm_audio = PcmAudio.from_wave_file("base.wav")
for index in xrange(20):
genome_factory = get_sound_factory(reference_pcm_audio, pcm_audio)
population = Population(genome_factory, 80)
best_sound = algorithm.run(population)
if best_score is not None and best_sound.score < best_score:
print "The algorithm failed to produce a better sound on this step"
break
print best_sound
pcm_audio = best_sound.to_pcm_audio()
pcm_audio.to_wave_file("debug%d.wav" % index)
Spectrogram(pcm_audio.samples).to_tga_file()
best_score = best_sound.score
sounds.append(best_sound)
construct_csound_file(sounds, pcm_audio)
return pcm_audio
