tomwalters@5: #!/usr/bin/env python
tomwalters@5: # encoding: utf-8
tomwalters@5: #
tomwalters@5: # AIM-C: A C++ implementation of the Auditory Image Model
tomwalters@5: # http://www.acousticscale.org/AIMC
tomwalters@5: #
tomwalters@45: # Licensed under the Apache License, Version 2.0 (the "License");
tomwalters@45: # you may not use this file except in compliance with the License.
tomwalters@45: # You may obtain a copy of the License at
tomwalters@5: #
tomwalters@45: #     http://www.apache.org/licenses/LICENSE-2.0
tomwalters@5: #
tomwalters@45: # Unless required by applicable law or agreed to in writing, software
tomwalters@45: # distributed under the License is distributed on an "AS IS" BASIS,
tomwalters@45: # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
tomwalters@45: # See the License for the specific language governing permissions and
tomwalters@45: # limitations under the License.
tomwalters@5: """
tomwalters@5: ModuleGammatone_test.py
tomwalters@5: 
tomwalters@5: Created by Thomas Walters on 2010-02-15.
tomwalters@5: Copyright 2010 Thomas Walters <tom@acousticscale.org>
tomwalters@5: Test for the Slaney IIR gammatone.
tomwalters@5: """
tomwalters@5: 
tomwalters@5: import aimc
tomwalters@5: from scipy import io
tomwalters@16: import wave
tomwalters@16: import scipy
tomwalters@5: 
tomwalters@5: def main():
tomwalters@5:   data_file = "src/Modules/BMM/testdata/gammatone.mat"
tomwalters@5:   data = io.loadmat(data_file)
tomwalters@5:   
tomwalters@5:   # The margin of error allowed between the returned values from AIM-C and
tomwalters@5:   # the stored MATLAB values.
tomwalters@5:   epsilon = 0.000001;
tomwalters@5:   
tomwalters@5:   input_wave = data["input_wave"]
tomwalters@5:   sample_rate = data["sample_rate"]
tomwalters@5:   centre_frequencies = data["centre_frequencies"]
tomwalters@5:   expected_output = data["expected_output"]
tomwalters@5:   
tomwalters@16:   (channel_count, frame_count) = expected_output.shape
tomwalters@16:   buffer_length = 20000;
tomwalters@5:   
tomwalters@5:   input_sig = aimc.SignalBank()
tomwalters@16:   input_sig.Initialize(1, buffer_length, 48000)
tomwalters@5:   parameters = aimc.Parameters()
tomwalters@16:   parameters.Load("src/Modules/BMM/testdata/gammatone.cfg")
tomwalters@5:   mod_gt = aimc.ModuleGammatone(parameters)
tomwalters@5:   mod_gt.Initialize(input_sig)
tomwalters@5:   
tomwalters@5:   correct_count = 0;
tomwalters@5:   incorrect_count  = 0;
tomwalters@16:   
tomwalters@16:   out = scipy.zeros((channel_count, buffer_length))
tomwalters@16:   
tomwalters@16:   cfs = scipy.zeros((channel_count))
tomwalters@16: 
tomwalters@16:   for i in range(0, buffer_length):
tomwalters@16:     input_sig.set_sample(0, i, input_wave[i][0])
tomwalters@16:   mod_gt.Process(input_sig)
tomwalters@16:   out_sig = mod_gt.GetOutputBank()
tomwalters@16:   for ch in range(0, out_sig.channel_count()):
tomwalters@16:     cfs[ch] = out_sig.centre_frequency(ch);
tomwalters@16:     for i in range(0, buffer_length):  
tomwalters@16:       out[ch, i] = out_sig.sample(ch, i)
tomwalters@16:   
tomwalters@16:   outmat = dict(filterbank_out=out, centre_frequencies_out=cfs)
tomwalters@16:   io.savemat("src/Modules/BMM/testdata/out_v2.mat", outmat)
tomwalters@5: 
tomwalters@5:   pass
tomwalters@5: 
tomwalters@5: 
tomwalters@5: if __name__ == '__main__':
tomwalters@5:   main()