我发现pydub是用简单的方法和紧凑的代码进行这种音频操作的最简单的工具。

可以使用安装pydubpip install pydub

如果需要，您可能需要安装ffmpeg/avlib。有关详细信息，请参见this link。

这是一个你要求的片段。一些参数，如silence_threshold和target_dBFS可能需要进行一些调整以符合您的需求。

总的来说，我能够分割mp3文件，尽管我必须尝试不同的silence_threshold值。

片段# Import the AudioSegment class for processing audio and the

# split_on_silence function for separating out silent chunks.

from pydub import AudioSegment

from pydub.silence import split_on_silence

# Define a function to normalize a chunk to a target amplitude.

def match_target_amplitude(aChunk, target_dBFS):

''' Normalize given audio chunk '''

change_in_dBFS = target_dBFS - aChunk.dBFS

return aChunk.apply_gain(change_in_dBFS)

# Load your audio.

song = AudioSegment.from_mp3("your_audio.mp3")

# Split track where the silence is 2 seconds or more and get chunks using

# the imported function.

chunks = split_on_silence (

# Use the loaded audio.

song,

# Specify that a silent chunk must be at least 2 seconds or 2000 ms long.

min_silence_len = 2000,

# Consider a chunk silent if it's quieter than -16 dBFS.

# (You may want to adjust this parameter.)

silence_thresh = -16

)

# Process each chunk with your parameters

for i, chunk in enumerate(chunks):

# Create a silence chunk that's 0.5 seconds (or 500 ms) long for padding.

silence_chunk = AudioSegment.silent(duration=500)

# Add the padding chunk to beginning and end of the entire chunk.

audio_chunk = silence_chunk + chunk + silence_chunk

# Normalize the entire chunk.

normalized_chunk = match_target_amplitude(audio_chunk, -20.0)

# Export the audio chunk with new bitrate.

print("Exporting chunk{0}.mp3.".format(i))

normalized_chunk.export(

".//chunk{0}.mp3".format(i),

bitrate = "192k",

format = "mp3"

)

如果您的原始音频是立体声(2声道)，您的块也将是立体声的。

您可以这样检查原始音频：>>> song.channels

2