Hi, I announce the first release of pyaudio, a module to make noise from numpy arrays (read, write and play audio files with numpy arrays).
* WHAT FOR ?: The Goal is to give to a numpy/scipy environmenet some basic audio IO facilities (ala sound, wavread, wavwrite of matlab). With pyaudio, you should be able to read and write most common audio files from and to numpy arrays. The underlying IO operations are done using libsndfile from Erik Castro Lopo (http://www.mega-nerd.com/libsndfile/), so he is the one who did the hard work. As libsndfile has support for a vast number of audio files (including wav, aiff, but also htk, ircam, and flac, an open source lossless codec), pyaudio enables the import from and export to a fairly large number of file formats. There is also a really crude player, which uses tempfile to play audio, and which only works for linux-alsa anyway. I intend to add better support at least for linux, and for other platforms if this does not involve too much hassle. So basically, if you are lucky enough to use a recent linux system, pyaudio already gives you the equivalent of wavread, wavwrite and sound. * DOWNLOAD: http://www.ar.media.kyoto-u.ac.jp/members/david/pyaudio.tar.gz * INSTALLATION INSTRUCTIONS: Just untar the package and drop it into scipy/Lib/sandbox, and add the two following lines to scipy/Lib/sandbox/setup.py: # Package to make some noise using numpy config.add_subpackage('pyaudio') (if libsndfile.so is not in /usr/lib, a fortiori if you are a windows user, you should also change set the right location for libsndfile in pyaudio/pysndfile.py, at the line _snd.cdll.LoadLibrary('/usr/lib/libsndfile.so') ) * EXAMPLE USAGE == Reading example == # Reading from '/home/david/blop.flac' from scipy.sandbox.pyaudio import sndfile a = sndfile('/home/david/blop.flac') print a tmp = a.read_frames_float(1024) --> Prints: File : /home/david/blop.flac Sample rate : 44100 Channels : 2 Frames : 9979776 Format : 0x00170002 Sections : 1 Seekable : True Duration : 00:03:46.298 And put into tmp the 1024 first frames (a frame is the equivalent of a sample, but taking into account the number of channels: so 1024 frames gives you 2048 samples here). == Writing example == # Writing to a wavfile: from scipy.sandbox.pyaudio import sndfile import numpy as N noise = N.random.randn((44100)) a = sndfile('/home/david/blop.flac', sfm['SFM_WRITE'], sf_format['SF_FORMAT_WAV'] | sf_format['SF_FORMAT_PCM16'], 1, 44100) a.write_frames(noise, 44100) a.close() -> should gives you a lossless compressed white noise ! This is really a first release, not really tested, not much documentation, I can just say it works for me. I haven't found a good way to emulate enumerations, which libsndfile uses a lot, so I am using dictionaries generated from the library C header to get a relation enum label <=> value. If someone has a better idea, I am open to suggestions ! Cheers, David ------------------------------------------------------------------------- Using Tomcat but need to do more? Need to support web services, security? Get stuff done quickly with pre-integrated technology to make your job easier Download IBM WebSphere Application Server v.1.0.1 based on Apache Geronimo http://sel.as-us.falkag.net/sel?cmd=lnk&kid=120709&bid=263057&dat=121642 _______________________________________________ Numpy-discussion mailing list Numpy-discussion@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/numpy-discussion
