tomwalters@32: #!/usr/bin/env python
tomwalters@32: # encoding: utf-8
tomwalters@32: #
tomwalters@32: # AIM-C: A C++ implementation of the Auditory Image Model
tomwalters@32: # http://www.acousticscale.org/AIMC
tomwalters@32: #
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@32: #
tomwalters@45: #     http://www.apache.org/licenses/LICENSE-2.0
tomwalters@32: #
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@32: """
tomwalters@32: Profiles_test.py
tomwalters@32: 
tomwalters@32: Created by Thomas Walters on 2010-02-22.
tomwalters@32: Copyright 2010 Thomas Walters <tom@acousticscale.org>
tomwalters@32: Test the AIM-C model from filterbank to SSI profiles
tomwalters@32: """
tomwalters@32: 
tomwalters@32: import aimc
tomwalters@32: from scipy.io import wavfile
tomwalters@32: from scipy import io
tomwalters@32: import scipy
tomwalters@32: import pylab
tomwalters@32: import numpy
tomwalters@32: from itertools import izip, chain, repeat
tomwalters@32: 
tomwalters@32: def grouper(n, iterable, padvalue=None):
tomwalters@32:     "grouper(3, 'abcdefg', 'x') --> ('a','b','c'), ('d','e','f'), ('g','x','x')"
tomwalters@32:     return izip(*[chain(iterable, repeat(padvalue, n-1))]*n)
tomwalters@32:     
tomwalters@32: def BankToArray(out_bank):
tomwalters@32:   channel_count = out_bank.channel_count()
tomwalters@32:   out_buffer_length = out_bank.buffer_length()
tomwalters@32:   out = scipy.zeros((channel_count,out_buffer_length))
tomwalters@32:   for ch in range(0, channel_count):
tomwalters@32:     for i in range(0, out_buffer_length):  
tomwalters@32:       out[ch, i] = out_bank.sample(ch, i)
tomwalters@32:   return out
tomwalters@32: 
tomwalters@32: def StrobesToList(bank):
tomwalters@32:   channel_count = bank.channel_count()
tomwalters@32:   out = scipy.zeros((channel_count,), dtype=numpy.object)
tomwalters@32:   for ch in range(0, channel_count):
tomwalters@32:     s = []
tomwalters@32:     for i in range(0, bank.strobe_count(ch)):
tomwalters@32:       s.append(bank.strobe(ch, i))
tomwalters@32:     out[ch] = s
tomwalters@32:   return out
tomwalters@32: 
tomwalters@32: def main():
tomwalters@32:   wave_path = "/Users/Tom/Documents/Work/PhD/HTK-AIM/Sounds/"
tomwalters@32:   
tomwalters@32:   file_name = "ii/ii172.5p112.5s100.0t+000itd"
tomwalters@32:   
tomwalters@32:   wave_suffix = ".wav"
tomwalters@32:   
tomwalters@32:   frame_period_ms = 10;
tomwalters@32:     
tomwalters@32:   wave_filename = wave_path + file_name + wave_suffix
tomwalters@32:   
tomwalters@32:   (sample_rate, input_wave) = wavfile.read(wave_filename)
tomwalters@32:   wave_length = input_wave.size
tomwalters@32:   buffer_length = int(frame_period_ms * sample_rate / 1000)
tomwalters@32:  
tomwalters@32:   
tomwalters@32:   input_sig = aimc.SignalBank()
tomwalters@32:   input_sig.Initialize(1, buffer_length, sample_rate)
tomwalters@32:   parameters = aimc.Parameters()
tomwalters@32:   parameters.SetInt("input.buffersize", 480)
tomwalters@32: 
tomwalters@32:   mod_gt = aimc.ModuleGammatone(parameters)
tomwalters@32:   mod_hl = aimc.ModuleHCL(parameters)
tomwalters@32:   mod_strobes = aimc.ModuleLocalMax(parameters) 
tomwalters@32: 
tomwalters@32:   mod_gt.AddTarget(mod_hl)
tomwalters@32:   mod_hl.AddTarget(mod_strobes)
tomwalters@32: 
tomwalters@32:   mod_gt.Initialize(input_sig)
tomwalters@32:   
tomwalters@32:   correct_count = 0;
tomwalters@32:   incorrect_count  = 0;
tomwalters@32:   
tomwalters@32:   scaled_wave = []
tomwalters@32:   for sample in input_wave:
tomwalters@32:     scaled_wave.append(float(sample / float(pow(2,15) - 1)))
tomwalters@32:   i = 0
tomwalters@32:   
tomwalters@32:   wave_chunks = grouper(buffer_length, scaled_wave, 0)
tomwalters@32: 
tomwalters@32:   out_nap = []
tomwalters@32:   out_strobes = []
tomwalters@32: 
tomwalters@32:   for chunk in wave_chunks:
tomwalters@32:     i = 0
tomwalters@32:     for sample in chunk:
tomwalters@32:       input_sig.set_sample(0, i, float(sample))
tomwalters@32:       i += 1
tomwalters@32:     mod_gt.Process(input_sig) 
tomwalters@32:     out_nap.append(BankToArray(mod_hl.GetOutputBank()))
tomwalters@32:     out_strobes.append(StrobesToList(mod_strobes.GetOutputBank()))
tomwalters@32: 
tomwalters@32:   outmat = dict(nap=out_nap, strobes=out_strobes)
tomwalters@32:   io.savemat("src/Scripts/strobes_out.mat", outmat, oned_as='column')
tomwalters@32: 
tomwalters@32:   pass
tomwalters@32: 
tomwalters@32: 
tomwalters@32: if __name__ == '__main__':
tomwalters@32:   main()