I'm sure some others _might_ regard this as frivolous, so let me just say: "Way Cool"! Thanks!
DG David Cournapeau wrote: > 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 > ------------------------------------------------------------------------- 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
