I've looked around Stack Overflow for an answer to this, but nowhere seems to give the correct answer or direction...
My project will allow a user to upload a WAV, which ultimately will be converted to a low quality MP3 using FFmpeg on the server and it'll all be stored and served on Amazon S3. The next obstacle is working out how to extract a reliable waveform visualisation from this uploaded sound. I'm using Python and Django on Linux Ubuntu 10 on a VPS for this project...
I'm, at the vert least, needing some sort of direction... I'm at a lost of where to start to look for such a tool?
This one (uses audiolab, PIL and numpy) is decent: http://www.freesound.org/blog/?p=10
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.
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.
Not trying to answer my own question here, but it's a suggestion that may help others clearly when seeing this quesion...
After lots of searching around, I found this solution... It seems well done, but does anyone else know anything about it?
Seems to do the lot!
来源：https://stackoverflow.com/questions/3290054/audio-waveform-visualisation-in-python-django