view swig/example.py @ 20:fff25824d1d1

-Added a module to scale output values by the channel centre frequency
-Fixed file input to support loading and processing of multiple files
-Updated the aimc main file to generate profiles like in the recognition experiments

#!/usr/bin/env python
# Copyright 2010, Thomas Walters
#
# AIM-C: A C++ implementation of the Auditory Image Model
# http://www.acousticscale.org/AIMC
#
# This program is free software: you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation, either version 3 of the License, or
# (at your option) any later version.
#
# This program is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
# GNU General Public License for more details.
#
# You should have received a copy of the GNU General Public License
# along with this program.  If not, see <http://www.gnu.org/licenses/>.

import aimc
params = aimc.Parameters()
mod_gauss = aimc.ModuleGaussians(params)
sig = aimc.SignalBank()
sig.Initialize(115, 1, 44100)
mod_gauss.Initialize(sig)
mod_gauss.Process(sig)