Python/Django中的音频波形可视化-AudiowaveformvisualisationinPython/Django

5  

This one (uses audiolab, PIL and numpy) is decent: http://www.freesound.org/blog/?p=10

这个（使用audiolab，PIL和numpy）很不错：http：//www.freesound.org/blog/？p = 10

6  

To make a graph or plot of the waveform, the usual Python appoach is to get the waveform into a numpy array, and then use matplotlib to make the plot.

为了制作波形的图形或图形，通常的Python方法是将波形变为numpy数组，然后使用matplotlib制作绘图。

The easiest way to read the data into a numpy array is to use scipy.io.wavfile.read, though if you prefer not to use scipy (it's a big package), it's not difficult to read and convert the data using Python's wav module.

将数据读入numpy数组的最简单方法是使用scipy.io.wavfile.read，但如果你不想使用scipy（它是一个大包），使用Python的wav模块读取和转换数据并不困难。

3  

Not trying to answer my own question here, but it's a suggestion that may help others clearly when seeing this quesion...

这里没有试图回答我自己的问题，但这是一个可以在看到这个问题时可以帮助其他人的建议......

After lots of searching around, I found this solution... It seems well done, but does anyone else know anything about it?

经过大量的搜索，我发现了这个解决方案......看起来做得很好，但其他人对此有何了解？

Seems to do the lot!

似乎做了很多！

http://code.google.com/p/timeside/

http://code.google.com/p/timeside/