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 haven't tested this but you it should be close to what you are looking for. Slightly more lines of code but should be more efficient, readable, and it doesn't abuse regular expressions :-)

def find_silent(samples):
    num_silent = 0
    start = 0
    for index in range(0, len(samples)):
        if abs(samples[index]) < SILENCE_THRESHOLD:
            if num_silent == 0:
                start = index
            num_silent += 1
        else:
            if num_silent > MIN_SILENCE:
                yield samples[start:index]
            num_silent = 0
    if num_silent > MIN_SILENCE:
        yield samples[start:]

for match in find_silent(samples):
    # code goes here