generate.py

import soundfile as sf
import pyloudnorm as pyln
from numpy import inf

data, rate = sf.read("example_file.wav") # load audio (with shape (samples, channels))
meter = pyln.Meter(rate) # create BS.1770 meter
threshold = -inf
loudness = []
currently_quiet = False
timestamps = []
timestamps.append(0)
for i in range(0, len(data),rate):
	if ((not currently_quiet) and (meter.integrated_loudness(data[i:i + rate]) <= threshold)) or (currently_quiet and (meter.integrated_loudness(data[i:i + rate]) > threshold)):
		timestamps.append(i/rate)
		currently_quiet = not currently_quiet

with open('outfile.txt', 'a') as the_file:
    the_file.write(';FFMETADATA1\n')
    for i in range(0, len(timestamps)-1):
    	the_file.write('[CHAPTER]\nTIMEBASE=1/1000\nSTART={}\nEND={}\ntitle=Chapter {}\n'.format(int(timestamps[i])*1000,int(timestamps[i+1])*1000,i))

print(timestamps)
#;FFMETADATA1
#[CHAPTER]
#TIMEBASE=1/1000
#START=0
#END=10000
#title=Chapter 01
#[CHAPTER]
#TIMEBASE=1/1000
#START=10000
#END=20000
#title=Chapter 02