Detect & Record Audio in Python - trim beginning silence

Using the script in this answer, silence at the beginning of the recording is not clipped.

I'm using python3.

As I've actually slightly tweaked the script, here's my copy: https://wtools.io/paste-code/b2tk

from sys import byteorder
from array import array
from struct import pack
 
import pyaudio
import wave
 
THRESHOLD = 500
CHUNK_SIZE = 1024
FORMAT = pyaudio.paInt16
RATE = 44100
 
def is_silent(snd_data):
    "Returns 'True' if below the 'silent' threshold"
    return max(snd_data) < THRESHOLD
 
def normalize(snd_data):
    "Average the volume out"
    MAXIMUM = 16384
    times = float(MAXIMUM)/max(abs(i) for i in snd_data)
 
    r = array('h')
    for i in snd_data:
        r.append(int(i*times))
    return r
 
def trim(snd_data):
    "Trim the blank spots at the start and end"
    def _trim(snd_data):
        snd_started = False
        r = array('h')
 
        for i in snd_data:
            if not snd_started and abs(i) > THRESHOLD:
                snd_started = True
                r.append(i)
 
            elif snd_started:
                r.append(i)
        return r
 
    # Trim to the left
    snd_data = _trim(snd_data)
 
    # Trim to the right
    snd_data.reverse()
    snd_data = _trim(snd_data)
    snd_data.reverse()
    return snd_data
 
def add_silence(snd_data, seconds):
    "Add silence to the start and end of 'snd_data' of length 'seconds' (float)"
    silence = [0] * int(seconds * RATE)
    r = array('h', silence)
    r.extend(snd_data)
    r.extend(silence)
    return r
 
def record():
    """
    Record a word or words from the microphone and 
    return the data as an array of signed shorts.
 
    Normalizes the audio, trims silence from the 
    start and end, and pads with 0.5 seconds of 
    blank sound to make sure VLC et al can play 
    it without getting chopped off.
    """
    p = pyaudio.PyAudio()
    stream = p.open(format=FORMAT, channels=1, rate=RATE,
        input=True, output=True,
        frames_per_buffer=CHUNK_SIZE)
 
    num_silent = 0
    snd_started = False
 
    r = array('h')
 
    while 1: 
        # little endian, signed short
        snd_data = array('h', stream.read(CHUNK_SIZE))
        if byteorder == 'big':
            snd_data.byteswap()
        r.extend(snd_data)
 
        silent = is_silent(snd_data)
 
        if silent and snd_started:
            num_silent += 1
        elif not silent and not snd_started:
            snd_started = True
 
        if snd_started and num_silent > 300:
            break
 
    sample_width = p.get_sample_size(FORMAT)
    stream.stop_stream()
    stream.close()
    p.terminate()
 
    r = normalize(r)
    r = trim(r)
    r = add_silence(r, 0.5)
    return sample_width, r
 
def record_to_file(path):
    "Records from the microphone and outputs the resulting data to 'path'"
    sample_width, data = record()
    data = pack('<' + ('h'*len(data)), *data)
 
    wf = wave.open(path, 'wb')
    wf.setnchannels(1)
    wf.setsampwidth(sample_width)
    wf.setframerate(RATE)
    wf.writeframes(data)
    wf.close()
 
if __name__ == '__main__':
    print("please speak a word into the microphone")
    record_to_file('demo.wav')
    print("done - result written to demo.wav")

How can I adjust this script to clip the silence from the beginning of it?

The issue was due to a quick, inaudible flash of sound when the mic was started. Adding del r[0:8000] before r = normalize(r) eliminated the first moments of audio containing the inaudible sound data, solving my issue.