numpy-discussion

[Numpy-discussion] [ANN[ pysamplerate, a library to do high quality samplerate convertion

[David C. <da...@ar...>]

(if those announcements are not welcome on the lists, please tell me)

Hi there,

    I've just developed a small package to wrap Source Rabbit Code from 
Erik de Castro de Lopo, which is a library to do high quality samplerate 
conversion (http://www.mega-nerd.com/SRC/). You can download it here:

    
http://www.ar.media.kyoto-u.ac.jp/members/david/softwares/pysamplerate/pysamplerate-0.1.tar.gz
    
http://www.ar.media.kyoto-u.ac.jp/members/david/softwares/pysamplerate/pysamplerate-0.1.zip

    Example of error conversions:
   
    
http://www.ar.media.kyoto-u.ac.jp/members/david/softwares/pysamplerate/example1.png

    Basically, you just import resample from pysamplerate, and 
resample(sins, fr/fs) gives you a converted signal at sampling rate fr, 
with fs the original sampling rate. You can also select the conversion 
method (eg 'sinc_best', etc...). The pydocs + examples should be enough
   
    This package can be useful for people who deal with music signal 
processing and co, when scipy.resample is not enough. Only float32 and 
float64 input are supported for now, I will polish the package when I 
will have some more time,

    cheers,

    David

Re: [Numpy-discussion] [SciPy-user] [ANN[ pysamplerate, a library to do high quality samplerate convertion

[Fernando P. <fpe...@gm...>]

On 11/2/06, David Cournapeau <da...@ar...> wrote:
> (if those announcements are not welcome on the lists, please tell me)

Frankly, if an announcement for a free Python signal processing
library is not welcome on the scipy lists, I don't know where it would
be ;)

As a minor note though: please remember to make a note of this in the
Topical Software wiki; it's good for that page to remain up to date
with newly released packages and libraries.

Thanks!

f