我有一个音频文件audio.wav
,并且我有一组看起来像这样的时间框架:
X = [(12.31, 14.), (15.4, 18.9), ...]
这些是我希望在我拥有的 .wav 音频文件中完全保持沉默的时间范围。我怎样才能做到这一点?
我有一个音频文件audio.wav
,并且我有一组看起来像这样的时间框架:
X = [(12.31, 14.), (15.4, 18.9), ...]
这些是我希望在我拥有的 .wav 音频文件中完全保持沉默的时间范围。我怎样才能做到这一点?
根据您的链接,我将其视为
from pydub import AudioSegment
a = AudioSegment.from_wav("audio.wav")
# X = [(12.31, 14.), (15.4, 18.9), ...]
duration = (14.0 - 12.31) * 1000
s1 = AudioSegment.silent(duration)
duration = (18.9 - 15.4) * 1000
s2 = AudioSegment.silent(duration)
b = a[:12310] + s1 + a[14000:15400] + s2 + a[18900:]
b.export('new_audio.wav', format='wav')
现在的问题是使用for
-loop 来自动化它
我无法测试它,但我认为它是
from pydub import AudioSegment
a = AudioSegment.from_wav("audio.wav")
X = [(12.31, 14.), (15.4, 18.9)]
parts = []
# start for audio
begin = 0
for start, end in X:
# keep sound before silence
s = a[begin*1000:start*1000]
parts.append(s)
# create silence
duration = (end - start) * 1000
s = AudioSegment.silent(duration)
parts.append(s)
# value for next loop
begin = end
# keep part after last silence
parts.append(a[begin*1000:])
# join all parts using standard `sum()` but it need `parts[0]` as start value
b = sum(parts[1:], parts[0])
# save it
b.export('new_audio.wav', format='wav')