I would go with scikits.audiolab to get you wav data into numpy arrays,
as David mentioned. I use it all the time for bioacoustic research and
it is great (unfortunately still in beta, but works well in practice).
Reading sound data of 5 seconds @ 32000 Hz and finding/measuring your
tones fast sho
On Mon, Aug 25, 2008 at 4:25 PM, Dan Colesworthy
<[EMAIL PROTECTED]> wrote:
> Hello all,
>
>
>
> I need an efficient way to convert 24 bit signed audio data to a numpy array
> for further processing. The data will be in a .wav file, and can be
> recovered via the python wave module. At that point
Hello all,
I need an efficient way to convert 24 bit signed audio data to a numpy
array for further processing. The data will be in a .wav file, and can
be recovered via the python wave module. At that point it is a byte
string - likely in little endian order. Somewhere in that data will be
