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 a 1 second length tone of prescribed but varying amplitude and frequency which must be measured for amplitude, frequency, duration, thd% etc. Also need to make the conversion quickly - over relatively large amounts of data. Something like 5 seconds sampled at 32000 samples/second. This same job will have to be repeated > 300 times as part of a test module. Thanks in advance for any and all ideas. Dan Colesworthy Otologics LLC
_______________________________________________ Numpy-discussion mailing list Numpy-discussion@scipy.org http://projects.scipy.org/mailman/listinfo/numpy-discussion