[英]How to add noise to wav file using python?
I have a clean wav, and a wav containing a pre-generated noise, and I would like to add the noise to the clean wav file, to create a noisy wav. 我有一个干净的WAV,并且WAV包含一个预先生成的噪音,我想将噪音添加到干净的WAV文件中,以创建一个嘈杂的WAV。
I saw here this can be easily done with matlab. 我在这里看到可以使用matlab轻松完成。
How can this be done with python? 如何使用python完成此操作?
import numpy as np
from scikits.audiolab import wavread, wavwrite
data1, fs1, enc1 = wavread("file1.wav")
data2, fs2, enc2 = wavread("file2.wav")
assert fs1 == fs2
assert enc1 == enc2
result = 0.5 * data1 + 0.5 * data2
wavwrite(result, 'result.wav')
However, if you have different a sampling rate ( fs*
) or encoding ( enc*
) then you may have to try something more complex. 但是,如果您使用不同的采样率(
fs*
)或编码( enc*
),则可能必须尝试更复杂的方法。 (Sourced from here ) (来自此处 )
Additional 额外
If you data*
arrays are of different sizes, you could either just match the shortest array to a subset of the longer array: 如果
data*
数组的大小不同,则可以将最短的数组与较长的数组的子集进行匹配:
min_size = min(len(data1), len(data2))
result = 0.5 * data1[:min_size] + 0.5 * data2[:min_size]
or you could wrap
the shortest array so that it matches the length of the longest array: 或者,您可以
wrap
最短的数组,使其与最长的数组的长度匹配:
short, long = (data1, data2) if len(data1) < len(data2) else (data2, data1)
n = len(long) / len(short)
new_array = np.tile(short, n)
result = 0.5 * long[:n] * 0.5 * new_array
These notes are outside the scope of your question. 这些说明不在您的问题范围内。 If you have further troubles you should probably mark this as solved and open up a new question.
如果您还有其他麻烦,您可能应该将其标记为已解决,并提出一个新问题。
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