def generate_samples(self):
"""Generate training samples (network inputs and outputs)"""
filenames = glob_all(self.args.random_data_folder, '*.wav')
shuffle(filenames)
while True:
for fn in filenames:
for x, y in self.vectors_from_fn(fn):
yield x, y
def run(self):
"""
Begin reading through audio files, saving false
activations and retraining when necessary
"""
for fn in glob_all(self.args.random_data_folder, '*.wav'):
if fn in self.trained_fns:
print('Skipping ' + fn + '...')
continue
print('Starting file ' + fn + '...')
self.train_on_audio(fn)
print('\r100% ')
self.trained_fns.append(fn)
save_trained_fns(self.trained_fns, self.args.model)