/* * 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 "webrtc/modules/audio_processing/vad/gmm.h" #include #include #include "webrtc/typedefs.h" 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