| /* |
| * 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. |
| */ |
| |
| #ifndef WEBRTC_MODULES_AUDIO_PROCESSING_VAD_GMM_H_ |
| #define WEBRTC_MODULES_AUDIO_PROCESSING_VAD_GMM_H_ |
| |
| namespace webrtc { |
| |
| // A structure that specifies a GMM. |
| // A GMM is formulated as |
| // f(x) = w[0] * mixture[0] + w[1] * mixture[1] + ... + |
| // w[num_mixtures - 1] * mixture[num_mixtures - 1]; |
| // Where a 'mixture' is a Gaussian density. |
| |
| struct GmmParameters { |
| // weight[n] = log(w[n]) - |dimension|/2 * log(2*pi) - 1/2 * log(det(cov[n])); |
| // where cov[n] is the covariance matrix of mixture n; |
| const double* weight; |
| // pointer to the first element of a |num_mixtures|x|dimension| matrix |
| // where kth row is the mean of the kth mixture. |
| const double* mean; |
| // pointer to the first element of a |num_mixtures|x|dimension|x|dimension| |
| // 3D-matrix, where the kth 2D-matrix is the inverse of the covariance |
| // matrix of the kth mixture. |
| const double* covar_inverse; |
| // Dimensionality of the mixtures. |
| int dimension; |
| // number of the mixtures. |
| int num_mixtures; |
| }; |
| |
| // Evaluate the given GMM, according to |gmm_parameters|, at the given point |
| // |x|. If the dimensionality of the given GMM is larger that the maximum |
| // acceptable dimension by the following function -1 is returned. |
| double EvaluateGmm(const double* x, const GmmParameters& gmm_parameters); |
| |
| } // namespace webrtc |
| #endif // WEBRTC_MODULES_AUDIO_PROCESSING_VAD_GMM_H_ |