| /* | |
| * Copyright (c) 2012 The WebRTC project authors. All Rights Reserved. | |
| * | |
| * Use of this source code is governed by a BSD-style license | |
| * that can be found in the LICENSE file in the root of the source | |
| * tree. An additional intellectual property rights grant can be found | |
| * in the file PATENTS. All contributing project authors may | |
| * be found in the AUTHORS file in the root of the source tree. | |
| */ | |
| #include "modules/audio_processing/vad/gmm.h" | |
| #include <cmath> | |
| namespace webrtc { | |
| static const int kMaxDimension = 10; | |
| 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, | |
| int dimension) { | |
| double q = 0; | |
| for (int i = 0; i < dimension; ++i) { | |
| double v = 0; | |
| for (int j = 0; j < dimension; j++) | |
| v += (*covar_inv++) * in[j]; | |
| q += v * in[i]; | |
| } | |
| q *= -0.5; | |
| return q; | |
| } | |
| double EvaluateGmm(const double* x, const GmmParameters& gmm_parameters) { | |
| if (gmm_parameters.dimension > kMaxDimension) { | |
| return -1; // This is invalid pdf so the caller can check this. | |
| } | |
| double f = 0; | |
| double v[kMaxDimension]; | |
| const double* mean_vec = gmm_parameters.mean; | |
| const double* covar_inv = gmm_parameters.covar_inverse; | |
| 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]; | |
| f += exp(q); | |
| mean_vec += gmm_parameters.dimension; | |
| covar_inv += gmm_parameters.dimension * gmm_parameters.dimension; | |
| } | |
| return f; | |
| } | |
| } // namespace webrtc |