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1 /* | 1 /* |
2 * Copyright (c) 2012 The WebRTC project authors. All Rights Reserved. | 2 * Copyright (c) 2012 The WebRTC project authors. All Rights Reserved. |
3 * | 3 * |
4 * Use of this source code is governed by a BSD-style license | 4 * Use of this source code is governed by a BSD-style license |
5 * that can be found in the LICENSE file in the root of the source | 5 * that can be found in the LICENSE file in the root of the source |
6 * tree. An additional intellectual property rights grant can be found | 6 * tree. An additional intellectual property rights grant can be found |
7 * in the file PATENTS. All contributing project authors may | 7 * in the file PATENTS. All contributing project authors may |
8 * be found in the AUTHORS file in the root of the source tree. | 8 * be found in the AUTHORS file in the root of the source tree. |
9 */ | 9 */ |
10 | 10 |
11 #include "webrtc/modules/audio_processing/agc/gmm.h" | 11 #include "webrtc/modules/audio_processing/vad/gmm.h" |
12 | 12 |
13 #include <math.h> | 13 #include <math.h> |
14 #include <stdlib.h> | 14 #include <stdlib.h> |
15 | 15 |
16 #include "webrtc/typedefs.h" | 16 #include "webrtc/typedefs.h" |
17 | 17 |
18 namespace webrtc { | 18 namespace webrtc { |
19 | 19 |
20 static const int kMaxDimension = 10; | 20 static const int kMaxDimension = 10; |
21 | 21 |
22 static void RemoveMean(const double* in, const double* mean_vec, | 22 static void RemoveMean(const double* in, |
23 int dimension, double* out) { | 23 const double* mean_vec, |
| 24 int dimension, |
| 25 double* out) { |
24 for (int n = 0; n < dimension; ++n) | 26 for (int n = 0; n < dimension; ++n) |
25 out[n] = in[n] - mean_vec[n]; | 27 out[n] = in[n] - mean_vec[n]; |
26 } | 28 } |
27 | 29 |
28 static double ComputeExponent(const double* in, const double* covar_inv, | 30 static double ComputeExponent(const double* in, |
| 31 const double* covar_inv, |
29 int dimension) { | 32 int dimension) { |
30 double q = 0; | 33 double q = 0; |
31 for (int i = 0; i < dimension; ++i) { | 34 for (int i = 0; i < dimension; ++i) { |
32 double v = 0; | 35 double v = 0; |
33 for (int j = 0; j < dimension; j++) | 36 for (int j = 0; j < dimension; j++) |
34 v += (*covar_inv++) * in[j]; | 37 v += (*covar_inv++) * in[j]; |
35 q += v * in[i]; | 38 q += v * in[i]; |
36 } | 39 } |
37 q *= -0.5; | 40 q *= -0.5; |
38 return q; | 41 return q; |
39 } | 42 } |
40 | 43 |
41 double EvaluateGmm(const double* x, const GmmParameters& gmm_parameters) { | 44 double EvaluateGmm(const double* x, const GmmParameters& gmm_parameters) { |
42 if (gmm_parameters.dimension > kMaxDimension) { | 45 if (gmm_parameters.dimension > kMaxDimension) { |
43 return -1; // This is invalid pdf so the caller can check this. | 46 return -1; // This is invalid pdf so the caller can check this. |
44 } | 47 } |
45 double f = 0; | 48 double f = 0; |
46 double v[kMaxDimension]; | 49 double v[kMaxDimension]; |
47 const double* mean_vec = gmm_parameters.mean; | 50 const double* mean_vec = gmm_parameters.mean; |
48 const double* covar_inv = gmm_parameters.covar_inverse; | 51 const double* covar_inv = gmm_parameters.covar_inverse; |
49 | 52 |
50 for (int n = 0; n < gmm_parameters.num_mixtures; n++) { | 53 for (int n = 0; n < gmm_parameters.num_mixtures; n++) { |
51 RemoveMean(x, mean_vec, gmm_parameters.dimension, v); | 54 RemoveMean(x, mean_vec, gmm_parameters.dimension, v); |
52 double q = ComputeExponent(v, covar_inv, gmm_parameters.dimension) + | 55 double q = ComputeExponent(v, covar_inv, gmm_parameters.dimension) + |
53 gmm_parameters.weight[n]; | 56 gmm_parameters.weight[n]; |
54 f += exp(q); | 57 f += exp(q); |
55 mean_vec += gmm_parameters.dimension; | 58 mean_vec += gmm_parameters.dimension; |
56 covar_inv += gmm_parameters.dimension * gmm_parameters.dimension; | 59 covar_inv += gmm_parameters.dimension * gmm_parameters.dimension; |
57 } | 60 } |
58 return f; | 61 return f; |
59 } | 62 } |
60 | 63 |
61 } // namespace webrtc | 64 } // namespace webrtc |
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