python - Can pydub set the maximum/minimum volume?

Question

As title, can I set a value for maximum/minimum volume, that is, there won't be too loud or too quiet in output audio file? (Not normalize, I just want tune the specific volume to normal, as the photo below.)

Answer 1

响度有点复杂 - 一个简单的解决方案是使用一种更简单的方法（如 dBFS）进行测量，并将所有音频的增益设置为匹配。

sounds = [audio_segment1, audio_segment2, audio_segment3, audio_segment4]

def set_loudness(sound, target_dBFS):
    loudness_difference = target_dBFS - sound.dBFS
    return sound.apply_gain(loudness_difference)

# -20dBFS is relatively quiet, but very likely to be enough headroom    
same_loudness_sounds = [
    set_loudness(sound, target_dBFS=-20)
    for sound in sounds
]

一个复杂的因素是你的一些声音可能有延长的沉默部分，甚至只是非常安静的部分。这会拉低平均值，您可能需要编写更复杂的响度测量。再一次，一个简单的方法，你可以把声音切成更短的片段，然后假设你的整个声音有 15 分钟长，只需使用最响亮的片段，我们可以分成 1 分钟的片段：

from pydub.utils import make_chunks

def get_loudness(sound, slice_size=60*1000):
    return max(chunk.dBFS for chunk in make_chunks(sound, slice_size))


# ...and replace set_loudness() in above example with…
def set_loudness(sound, target_dBFS):
    loudness_difference = target_dBFS - get_loudness(sound)
    return sound.apply_gain(loudness_difference)

Answer 2

这就是我所做的，它对我很有效。如果 sample_rate 太小，缺点是性能不佳。

from pydub import AudioSegment
from pydub.utils import make_chunks

def match_target_amplitude(sound, target_dBFS):
    change_in_dBFS = target_dBFS - sound.dBFS
    return sound.apply_gain(change_in_dBFS)

def sound_slice_normalize(sound, sample_rate, target_dBFS):
    def max_min_volume(min, max):
        for chunk in make_chunks(sound, sample_rate):
            if chunk.dBFS < min:
                yield match_target_amplitude(chunk, min)
            elif chunk.dBFS > max:
                yield match_target_amplitude(chunk, max)
            else:
                yield chunk

    return reduce(lambda x, y: x + y, max_min_volume(target_dBFS[0], target_dBFS[1]))

sound = AudioSegment.from_mp3("vanilla_sky.mp3")
normalized_db = min_normalized_db, max_normalized_db = [-32.0, -18.0]
sample_rate = 1000
normalized_sound = sound_slice_normalize(sound, sample_rate, normalized_db)