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Audio waveform visualisation in Python/Django

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?

Answers(3) :

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.

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

Comments:
2023-01-19 00:55:05
+1 Good suggestion! Maybe a turnkey solution is a better fit to this need than the more generic approach I suggested.

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!

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

Comments:
2023-01-19 00:55:05
I've not yet. I'm hoping to have a good go with this soon. And it seems like it's being actively developed. Could be a really cool option.