view trunk/src/Modules/BMM/ModuleGammatone_test.py @ 690:76f749d29b48

Fix memory leak in CARFAC.

Also get rid of most uses of auto, which tend to hurt readability
unless the type name is particularly long, especially when it masks
pointers.

#!/usr/bin/env python
# encoding: utf-8
#
# AIM-C: A C++ implementation of the Auditory Image Model
# http://www.acousticscale.org/AIMC
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
#     http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
"""
ModuleGammatone_test.py

Created by Thomas Walters on 2010-02-15.
Copyright 2010 Thomas Walters <[e-mail]>
Test for the Slaney IIR gammatone.
"""

import aimc
from scipy import io
import wave
import scipy

def main():
  data_file = "src/Modules/BMM/testdata/gammatone.mat"
  data = io.loadmat(data_file)
  
  # The margin of error allowed between the returned values from AIM-C and
  # the stored MATLAB values.
  epsilon = 0.000001;
  
  input_wave = data["input_wave"]
  sample_rate = data["sample_rate"]
  centre_frequencies = data["centre_frequencies"]
  expected_output = data["expected_output"]
  
  (channel_count, frame_count) = expected_output.shape
  buffer_length = 20000;
  
  input_sig = aimc.SignalBank()
  input_sig.Initialize(1, buffer_length, 48000)
  parameters = aimc.Parameters()
  parameters.Load("src/Modules/BMM/testdata/gammatone.cfg")
  mod_gt = aimc.ModuleGammatone(parameters)
  mod_gt.Initialize(input_sig)
  
  correct_count = 0;
  incorrect_count  = 0;
  
  out = scipy.zeros((channel_count, buffer_length))
  
  cfs = scipy.zeros((channel_count))

  for i in range(0, buffer_length):
    input_sig.set_sample(0, i, input_wave[i][0])
  mod_gt.Process(input_sig)
  out_sig = mod_gt.GetOutputBank()
  for ch in range(0, out_sig.channel_count()):
    cfs[ch] = out_sig.centre_frequency(ch);
    for i in range(0, buffer_length):  
      out[ch, i] = out_sig.sample(ch, i)
  
  outmat = dict(filterbank_out=out, centre_frequencies_out=cfs)
  io.savemat("src/Modules/BMM/testdata/out_v2.mat", outmat)

  pass


if __name__ == '__main__':
  main()