get audio volumes samples, assited by ChatGPT

audio-volumes.py

from pydub import AudioSegment
import numpy as np


def get_volumes(audio_path, format, chunks_number=100):
    audio = AudioSegment.from_file(audio_path, format=format)
    segment_length = len(audio) // chunks_number

    volumes = []
    for i in range(chunks_number):
        start_time = i * segment_length
        end_time = (i + 1) * segment_length
        segment = audio[start_time:end_time]
        samples = np.array(segment.get_array_of_samples())
        volume = np.abs(samples).mean()
        volumes.append(volume)

    # Set the maximum mean as 100
    max_mean = max(volumes)
    part_means = [int(100 * mean / max_mean) for mean in volumes]
    return part_means

if __name__ == '__main__':
    print(' '.join([str(i) for i in get_volumes("file.mp3", "mp3", 100)]))

usage:

❯ python volumes100.py 
6 11 11 10 12 13 22 18 15 10 12 10 14 25 25 16 10 13 10 14 14 25 15 10 13 10 16 19 61 63 39 62 91 39 61 82 60 34 62 90 36 82 82 65 51 63 96 60 57 62 83 46 42 97 72 56 91 71 51 42 85 74 55 72 67 51 36 79 83 45 88 73 69 46 71 100 57 57 83 64 42 71 97 45 90 60 56 32 31 49 27 57 36 54 34 32 46 30 54 38
❯ pip install sparklines
❯ python volumes100.py | sparklines
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