Find large number of consecutive values fulfilling condition in a numpy array

Question

I have some audio data loaded in a numpy array and I wish to segment the data by finding silent parts, i.e. parts where the audio amplitude is below a certain threshold over

Answer 1

I know I'm late to the party, but another way to do this is with 1d convolutions:

np.convolve(sig > threshold, np.ones((cons_samples)), 'same') == cons_samples

Where cons_samples is the number of consecutive samples you require above threshold