我有两个脚本,其中一个分割一定长度的音频,另一个在每次有静音段时分割音频。是否有可能在静音时分割音频,但仅在经过一段时间后?我需要在不超过5分钟的时间内分成几块视频。
忽略沉默分裂脚本:
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")
答案 0 :(得分:4)
我的建议是使用pydub.silence.split_on_silence()
,然后根据需要重新组合细分,以便您拥有的文件大小与您定位的大小相同。
类似
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将原始音频切片的位置
答案 1 :(得分:0)
解决方法是使用mp3splt代替: http://mp3splt.sourceforge.net/mp3splt_page/documentation/man.html
-t TIME [&gt; MIN_TIME] 时间模式。此选项将创建无限数量的较小文件,其时间长度由TIME指定(具有与上述格式相同的格式)。将长文件拆分为较小的文件(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。 &gt; MIN_TIME可用于指定最后一个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个段。确保在使用MIN_TIME时引用参数 - &#34; TIME&gt; MIN_TIME&#34;。
然后,它可以在python中使用:
import os
os.system("mp3splt inputfile.mp3")