Mercurial > hg > aimc
changeset 700:597913e855fd
Factor out SAI_Run_Segment, and output test_data for comparison with C++ code.
| author | ronw@google.com |
|---|---|
| date | Thu, 27 Jun 2013 22:28:42 +0000 |
| parents | 9900ef01df23 |
| children | bf89b122a683 |
| files | trunk/carfac/test_data/binaural_test-matlab-sai1.txt trunk/carfac/test_data/long_test-matlab-sai1.txt trunk/matlab/bmm/carfac/CARFAC_GenerateTestData.m trunk/matlab/bmm/carfac/SAI_Run.m trunk/matlab/bmm/carfac/SAI_Run_Segment.m trunk/matlab/bmm/carfac/SAI_StabilizeLayer.m |
| diffstat | 6 files changed, 224 insertions(+), 13 deletions(-) [+] |
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--- a/trunk/matlab/bmm/carfac/CARFAC_GenerateTestData.m Thu Jun 27 22:28:34 2013 +0000 +++ b/trunk/matlab/bmm/carfac/CARFAC_GenerateTestData.m Thu Jun 27 22:28:42 2013 +0000 @@ -34,6 +34,13 @@ % test data. test_data_dir = '../../../carfac/test_data/'; +sai_struct = struct('width', 500, ... + 'future_lags', 250, ... + 'window_width', 2000, ... + 'n_window_pos', 2, ... + 'channel_smoothing_scale', 0); + + test_name = 'binaural_test'; samples_to_read = [9000, 9903]; % Trim for a faster test. signal = wavread([test_data_dir test_name '.wav'], samples_to_read); @@ -43,7 +50,7 @@ signal = [signal((itd_offset+1):end), signal(1:(end-itd_offset))] / 10; n_ears = size(signal, 2); CF_struct = CARFAC_Design(n_ears); -WriteTestData(test_data_dir, 'binaural_test', signal, CF_struct); +WriteTestData(test_data_dir, 'binaural_test', signal, CF_struct, sai_struct); test_name = 'long_test'; @@ -52,10 +59,10 @@ assert(size(signal, 2) == 2, 'Expected stereo signal.'); n_ears = size(signal, 2); CF_struct = CARFAC_Design(n_ears, fs); -WriteTestData(test_data_dir, 'long_test', signal, CF_struct); +WriteTestData(test_data_dir, 'long_test', signal, CF_struct, sai_struct); -function WriteTestData(test_data_dir, test_name, signal, CF_struct) +function WriteTestData(test_data_dir, test_name, signal, CF_struct, sai_struct) % The following section generates data for the binaural test of the C++ % version of CARFAC. filename_prefix = [test_data_dir test_name]; @@ -73,6 +80,11 @@ bm(:,:,ear)); end +ear = 1; +sai_struct = SAI_Run_Segment(sai_struct, nap(:,:,ear)); +WriteMatrixToFile([filename_prefix '-matlab-sai' num2str(ear) '.txt'], ... + sai_struct.frame); + function WriteMatrixToFile(filename, matrix) precision_level = 9;
--- a/trunk/matlab/bmm/carfac/SAI_Run.m Thu Jun 27 22:28:34 2013 +0000 +++ b/trunk/matlab/bmm/carfac/SAI_Run.m Thu Jun 27 22:28:42 2013 +0000 @@ -55,15 +55,7 @@ % NOTE: This might not be necessary. seg_naps = max(0, seg_naps); - if seg_num == n_segs % pad out the last result - seg_naps = [seg_naps; zeros(seglen - size(seg_naps,1), size(seg_naps, 2))]; - end - - % Shift new data into the buffer. - n_shift = size(seg_naps, 1); - sai_struct.nap_buffer = [sai_struct.nap_buffer((1 + n_shift):end,:); seg_naps]; - - sai_struct = SAI_StabilizeLayer(sai_struct); + sai_struct = SAI_Run_Segment(sai_struct, seg_naps); cmap = 1 - gray; % jet figure(10)
--- /dev/null Thu Jan 01 00:00:00 1970 +0000 +++ b/trunk/matlab/bmm/carfac/SAI_Run_Segment.m Thu Jun 27 22:28:42 2013 +0000 @@ -0,0 +1,53 @@ +% Copyright 2013, Google, Inc. +% Author: Richard F. Lyon +% +% This Matlab file is part of an implementation of Lyon's cochlear model: +% "Cascade of Asymmetric Resonators with Fast-Acting Compression" +% to supplement Lyon's upcoming book "Human and Machine Hearing" +% +% 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. + +function sai_struct = SAI_Run_Segment(sai_struct, input) +% function sai_frame = SAI_Run_Segment(sai_struct, input) +% Compute a single SAI frame from the given multichannel input signal. + +% Store state used between successive calls to this function in sai_struct. +if ~isfield(sai_struct, 'nap_buffer') + % Make the history buffer. + buffer_width = sai_struct.width + ... + floor((1 + (sai_struct.n_window_pos - 1)/2) * sai_struct.window_width); + n_ch = size(input, 2); + sai_struct.nap_buffer = zeros(buffer_width, n_ch); +end +if ~isfield(sai_struct, 'frame') + % The SAI frame is transposed to be image-like. + sai_struct.frame = zeros(n_ch, sai_struct.width); +end + +if size(input, 1) < sai_struct.window_width % pad out the last result + input = [input; ... + zeros(sai_struct.window_width - size(input, 1), size(input, 2))]; +end +size(input) +sai_struct.window_width + +assert(size(input, 1) == sai_struct.window_width) + +% Shift new data into the buffer. +num_shift = size(input, 1); +sai_struct.nap_buffer = [sai_struct.nap_buffer((1 + num_shift):end,:); ... + input]; + +sai_struct = SAI_StabilizeLayer(sai_struct); + +return
--- a/trunk/matlab/bmm/carfac/SAI_StabilizeLayer.m Thu Jun 27 22:28:34 2013 +0000 +++ b/trunk/matlab/bmm/carfac/SAI_StabilizeLayer.m Thu Jun 27 22:28:42 2013 +0000 @@ -26,7 +26,7 @@ end % smooth across channels; more in later layers -smoothed_buffer = smooth1d(nap_buffer', layer_struct.channel_smoothing_scale)'; +smoothed_buffer = smooth1d(nap_buffer', layer_struct.channel_smoothing_scale)'; % For each buffer column (channel), pick a trigger and align into SAI_frame for ch = 1:n_ch