1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
|
/*
cw_binaural~: a binaural synthesis external for pure data
by David Doukhan - david.doukhan@gmail.com - http://perso.limsi.fr/doukhan
and Anne Sedes - sedes.anne@gmail.com
Copyright (C) 2009-2011 David Doukhan and Anne Sedes
For more details, see CW_binaural~, a binaural synthesis external for Pure Data
David Doukhan and Anne Sedes, PDCON09
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/>.
*/
#include "itdcont.hpp"
#include "flyweight_ir_factory.hpp"
#include "logstring.hpp"
// returns an itd set corresponding to key k
// assumption: constructor will alwas be called from FlyweightIrFactory
// and the field spectral set to false in the factory
ItdCont::ItdCont(const ir_key& k)
{
ir_key k2 = k;
k2.minp_ap_dec = false;
HrtfCont* hc = FlyweightIrFactory::instance()->hrtf_set_get(k2);
for (angle1_cit ia1 = hc->map_get()->begin(); ia1 != hc->map_get()->end(); ia1++)
for (angle2_cit ia2 = ia1->second.begin(); ia2 != ia1->second.end(); ia2++)
_m[ia1->first][ia2->first]
= cross_correlation_itd(ia2->second.lbuf, ia2->second.rbuf, hc->ir_length_get());
}
// compute the cross-correlation between signals s1, s2 of size len_sig
// for n sample time lag
float ItdCont::cross_correlation(const float* s1, const float* s2, size_t len_sig, int n)
{
float res = 0;
// slog << "ARG " << n << endl;
for (int i = (n >= 0 ? 0 : -n); i < (n <= 0 ? (int) len_sig : (int) len_sig - n); ++i)
res += s1[i] * s2[i+n];
// slog << "local cross corr " << n << ":" << res << endl;
return res;
}
// compute an estimation of the ITD using crosscorrelation
// taking into account the left and right impulse responses
float ItdCont::cross_correlation_itd(const float *lsig, const float *rsig, size_t len_sig)
{
int arg, argmax;
float val, valmax;
int ilen_sig = (int) len_sig;
// slog << "lensig " << len_sig << ilen_sig<< endl;
//slog << lsig << rsig << len_sig << endl;
argmax = 1-len_sig;
valmax = cross_correlation(lsig, rsig, len_sig, argmax);
for (arg = 2 - ilen_sig; arg < ilen_sig - 1; ++arg)
//{
// slog << "FOR ARG " << arg << endl;
if ((val = cross_correlation(lsig, rsig, len_sig, arg)) > valmax)
{
argmax = arg;
valmax = val;
}
// }
// slog << "ARGMAXXXX " << argmax << endl;
return argmax;
}
float ItdCont::itd_from_candidates(const interp_cdts& ic)
{
float res = _m[ic.angle_index1[0] ][ic.angle_index2[0] ] * ic.weight[0];
for (size_t i = 1; i < ic.size; ++i)
res += _m[ic.angle_index1[i]][ic.angle_index2[i]] * ic.weight[i];
return res;
}
|
