lyon 1.0.0

Description:

lyon 1.0.0

Lyon's auditory model for Python
Python port of Lyon's model calculation from Auditory Toolbox.
Original version of Auditory Toolbox is written in C and MATLAB by Malcolm Slaney.
Package contents

Modified soscascade.c, agc.c and sosfilters.c (removed MEX-related part).
ctypes wrapper for soscascade(), agc() and sosfilters() calls.
Translation from MATLAB to Python for files necessary for successfull call to LyonPassiveEar().

Dependecies
If you plan to build manually and run tests, you'll need libcheck installed.
On Ubuntu 18.10 run:
sudo apt-get install check

Installation
Manual
Build a library:
make lib

This would result in liblyon.so shared library. Verify that library is properly built by running a test suite:
make test

Usage
The following code computes cochleogram for a sample sound:
from lyon import LyonCalc

calc = LyonCalc()
waveform, sample_rate = load('audio/file/path.wav')
decimation_factor = 64
coch = calc.lyon_passive_ear(waveform, sample_rate, decimation_factor)
print(coch.shape)

The code above should output shape of resulting auditory nerve response: [<number of samples / decimation_factor>, 86].
See lyon_examples.py for examples on running other functions.
Links

AuditoryToolbox page
Report describing function in toolbox