| Index: webrtc/modules/audio_processing/agc/gmm.cc
|
| diff --git a/webrtc/modules/audio_processing/vad/gmm.cc b/webrtc/modules/audio_processing/agc/gmm.cc
|
| similarity index 81%
|
| rename from webrtc/modules/audio_processing/vad/gmm.cc
|
| rename to webrtc/modules/audio_processing/agc/gmm.cc
|
| index 96519759133197209f20727433daf122dce6cb31..9ad8ef95aee23baac501f1d8e9ca3e5e77fd6dd4 100644
|
| --- a/webrtc/modules/audio_processing/vad/gmm.cc
|
| +++ b/webrtc/modules/audio_processing/agc/gmm.cc
|
| @@ -8,7 +8,7 @@
|
| * be found in the AUTHORS file in the root of the source tree.
|
| */
|
|
|
| -#include "webrtc/modules/audio_processing/vad/gmm.h"
|
| +#include "webrtc/modules/audio_processing/agc/gmm.h"
|
|
|
| #include <math.h>
|
| #include <stdlib.h>
|
| @@ -19,16 +19,13 @@ namespace webrtc {
|
|
|
| static const int kMaxDimension = 10;
|
|
|
| -static void RemoveMean(const double* in,
|
| - const double* mean_vec,
|
| - int dimension,
|
| - double* out) {
|
| +static void RemoveMean(const double* in, const double* mean_vec,
|
| + int dimension, double* out) {
|
| for (int n = 0; n < dimension; ++n)
|
| out[n] = in[n] - mean_vec[n];
|
| }
|
|
|
| -static double ComputeExponent(const double* in,
|
| - const double* covar_inv,
|
| +static double ComputeExponent(const double* in, const double* covar_inv,
|
| int dimension) {
|
| double q = 0;
|
| for (int i = 0; i < dimension; ++i) {
|
| @@ -53,7 +50,7 @@ double EvaluateGmm(const double* x, const GmmParameters& gmm_parameters) {
|
| for (int n = 0; n < gmm_parameters.num_mixtures; n++) {
|
| RemoveMean(x, mean_vec, gmm_parameters.dimension, v);
|
| double q = ComputeExponent(v, covar_inv, gmm_parameters.dimension) +
|
| - gmm_parameters.weight[n];
|
| + gmm_parameters.weight[n];
|
| f += exp(q);
|
| mean_vec += gmm_parameters.dimension;
|
| covar_inv += gmm_parameters.dimension * gmm_parameters.dimension;
|
|
|