temp.py

import numpy as np

sample_rate = 16000
bytes_per_sample = 2

file_full = "test_full.wav"
file_trunc = "test_from30.wav"

start_time = 30  # seconds

def to_array(audio_data):
    """Convert audio data to numpy array"""
    return np.frombuffer(audio_data, dtype=np.int16).astype(np.float32) / np.iinfo(np.int16).max

#read 10 frames starting from the 30 seconds mark of file_full using f.read
with open(file_full, 'rb') as f:
    #read the first 44 bytes (WAV header)
    header = f.read(44)
    if not header.startswith(b'RIFF'):
        f.seek(0)  # Reset to start if not a valid WAV file
    f.seek(start_time * sample_rate * bytes_per_sample)
    
    chunk = f.read(10 * bytes_per_sample)  # Read 10 seconds of audio
    print(np.array2string(to_array(chunk), precision=6, suppress_small=True, separator=', '))

with open(file_trunc, 'rb') as f:
    #read the first 44 bytes (WAV header)
    header = f.read(44)
    if not header.startswith(b'RIFF'):
        f.seek(0)  # Reset to start if not a valid WAV file
    
    chunk = f.read(10 * bytes_per_sample)  # Read 10 seconds of audio
    #do not use scientific notation
    print(np.array2string(to_array(chunk), precision=6, suppress_small=True, separator=', '))