我有一个问题,把一个2d的numpy数组写成一个波文件(音频)
根据文档,我应该编写一个2d int16 numpy数组。
https://docs.scipy.org/doc/scipy-0.18.1/reference/generated/scipy.io.wavfile.write.html
16-bit PCM -32768 +32767 int16作为float32格式的numpy数组(-1,1),我首先将其转换为16位int。
stereoAudio = ((stereoAudio * bits16max)).astype('int16')
print "argmax : " + str(np.amax(stereoAudio))
print "argmin : " + str(np.amin(stereoAudio))
outWaveFileName = "out/file.wav"
print "writing " + outWaveFileName
wavfile.write(outWaveFileName,44100,stereoAudio)我得到以下输出:
argmax : 4389
argmin : -4381
writing out/file.wav
Traceback (most recent call last):
File "/Users/me/file.py", line 132, in <module>
wavfile.write(outWaveFileName,44100,stereoAudio)
File "//anaconda/lib/python2.7/site-packages/scipy/io/wavfile.py", line 353, in write
bytes_per_second, block_align, bit_depth)
error: ushort format requires 0 <= number <= USHRT_MAX由于我的值在16位格式的-4391和4389之间,所以应该可以。但我的数据似乎被解读为
发布于 2016-11-27 03:36:57
write函数在scipy.io.wavfile中期望输入数组具有形状(num_samples, num_channels)。我怀疑您的数组具有形状(num_channels, num_samples)。然后,write试图将num_samples放在一个结构中的16位字段中,该结构被写入WAV文件,但是num_samples的值对于16位值来说太大了。(请注意,如果num_samples足够小,您将不会得到错误,但是文件将没有正确的格式。)
一个快速的解决方法是编写数组的转置:
wavfile.write(outWaveFileName, 44100, stereoAudio.T)例如,下面是一些演示错误的代码;x和y具有形状(2,40000):
In [12]: x = (2*np.random.rand(2, 40000) - 1).astype(np.float32)
In [13]: y = (x*32767).astype('int16')
In [14]: from scipy.io import wavfile
In [15]: wavfile.write('foo.wav', 44100, y)
---------------------------------------------------------------------------
error Traceback (most recent call last)
<ipython-input-15-36b8cd0e729c> in <module>()
----> 1 wavfile.write('foo.wav', 44100, y)
/Users/warren/anaconda/lib/python2.7/site-packages/scipy/io/wavfile.pyc in write(filename, rate, data)
351
352 fmt_chunk_data = struct.pack('<HHIIHH', format_tag, channels, fs,
--> 353 bytes_per_second, block_align, bit_depth)
354 if not (dkind == 'i' or dkind == 'u'):
355 # add cbSize field for non-PCM files
error: ushort format requires 0 <= number <= USHRT_MAX转置数组,以便wavfile.write的输入具有预期的形状:
In [16]: wavfile.write('foo.wav', 44100, y.T)读取数据以验证它是否如预期的那样工作:
In [22]: fs, z = wavfile.read('foo.wav')
In [23]: np.allclose(z, y.T)
Out[23]: Truehttps://stackoverflow.com/questions/40822877
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