9

我有两个脚本，其中一个分割一定长度的音频，另一个在每次有无声段落时分割音频。是否可以在静音时分割音频，但只有在经过一定时间之后？我需要在不短于 5 分钟的静默中分割视频块。

忽略静音分割脚本：

from pydub import AudioSegment
#from pydub.utils import mediainfo
from pydub.utils import make_chunks
import math

#lac_audio = AudioSegment.from_file("Kalimba.mp3", "mp3")
#flac_audio.export("audio.mp3", format="mp3")
myaudio = AudioSegment.from_file("Kalimba.mp3" , "mp3")
channel_count = myaudio.channels    #Get channels
sample_width = myaudio.sample_width #Get sample width
duration_in_sec = len(myaudio) / 1000#Length of audio in sec
sample_rate = myaudio.frame_rate

print "sample_width=", sample_width 
print "channel_count=", channel_count
print "duration_in_sec=", duration_in_sec 
print "frame_rate=", sample_rate
bit_rate =16  #assumption , you can extract from mediainfo("test.wav") dynamically


wav_file_size = (sample_rate * bit_rate * channel_count * duration_in_sec) / 8
print "wav_file_size = ",wav_file_size


file_split_size = 10000000  # 10Mb OR 10, 000, 000 bytes
total_chunks =  wav_file_size // file_split_size

#Get chunk size by following method #There are more than one ofcourse
#for  duration_in_sec (X) -->  wav_file_size (Y)
#So   whats duration in sec  (K) --> for file size of 10Mb
#  K = X * 10Mb / Y

chunk_length_in_sec = math.ceil((duration_in_sec * 10000000 ) /wav_file_size)   #in sec
chunk_length_ms = chunk_length_in_sec * 1000
chunks = make_chunks(myaudio, chunk_length_ms)

#Export all of the individual chunks as wav files

for i, chunk in enumerate(chunks):
    chunk_name = "chunk{0}.mp3".format(i)
    print "exporting", chunk_name
    chunk.export(chunk_name, format="mp3")

忽略长度的拆分脚本：

from pydub import AudioSegment
from pydub.silence import split_on_silence

sound = AudioSegment.from_mp3("my_file.mp3")
chunks = split_on_silence(sound, 
    # must be silent for at least half a second
    min_silence_len=500,

    # consider it silent if quieter than -16 dBFS
    silence_thresh=-16

 )

for i, chunk in enumerate(chunks):
    chunk.export("/path/to/ouput/dir/chunk{0}.wav".format(i), format="wav")
4

2 回答 2

10

我的建议是使用pydub.silence.split_on_silence()然后根据需要重新组合这些段，以便您拥有与您的目标大小大致相同的文件。

就像是

from pydub import AudioSegment
from pydub.silence import split_on_silence

sound = AudioSegment.from_file("/path/to/file.mp3", format="mp3")
chunks = split_on_silence(
    sound,

    # split on silences longer than 1000ms (1 sec)
    min_silence_len=1000,

    # anything under -16 dBFS is considered silence
    silence_thresh=-16, 

    # keep 200 ms of leading/trailing silence
    keep_silence=200
)

# now recombine the chunks so that the parts are at least 90 sec long
target_length = 90 * 1000
output_chunks = [chunks[0]]
for chunk in chunks[1:]:
    if len(output_chunks[-1]) < target_length:
        output_chunks[-1] += chunk
    else:
        # if the last output chunk is longer than the target length,
        # we can start a new one
        output_chunks.append(chunk)

# now your have chunks that are bigger than 90 seconds (except, possibly the last one)

或者，您可以使用pydub.silence.detect_nonsilent()查找范围并自行决定在哪里对原始音频进行切片

注意：我也在类似/重复的 github 问题上发布了这个

于 2016-06-13T13:06:19.263 回答
2

解决方案是改用 mp3splt：http: //mp3splt.sourceforge.net/mp3splt_page/documentation/man.html

-t TIME[>MIN_TIME] 时间模式。此选项将创建无限数量的具有固定时间长度的较小文件，时间长度由 TIME 指定（具有与上述相同的格式）。将长文件分割成更小的文件（例如 CD 的时间长度）很有用。调整选项 (-a) 可用于通过静音检测调整分割点。>MIN_TIME 可用于指定最后一段的理论最小轨道长度；它允许避免创建非常小的文件作为最后一段。确保在使用 MIN_TIME - "TIME>MIN_TIME" 时引用参数。

然后，它可以像这样在python中使用：

import os
os.system("mp3splt inputfile.mp3")
于 2016-06-09T13:19:45.137 回答