Re: [Numpy-discussion] Converting audio data to array for further processing
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 should not be a problem with numpy(.fft) and audiolab. If you need very accurate tone frequency estimation (i.e. more accurate than a simple fft can give you): I implemented in numpy an algorithm (from the speech analysis program Praat) to do this, but as yet it is not optimized and very slow. Best, Gabriel On Mon, 2008-08-25 at 17:25 -0600, Dan Colesworthy 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 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 ___ Numpy-discussion mailing list Numpy-discussion@scipy.org http://projects.scipy.org/mailman/listinfo/numpy-discussion
[Numpy-discussion] Converting audio data to array for further processing
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
Re: [Numpy-discussion] Converting audio data to array for further processing
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 it is a byte string – likely in little endian order. There are some wav io facilities in scipy.io. If you need more advanced facilities and ndo not ming using LGPL-licensed code, there is scikits.audiolab which is a wrapper around sndfile and supports a large range of audio file formats: http://www.mega-nerd.com/libsndfile/ http://projects.scipy.org/scipy/scikits david ___ Numpy-discussion mailing list Numpy-discussion@scipy.org http://projects.scipy.org/mailman/listinfo/numpy-discussion
