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/*
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* Copyright (c) 2012 The WebRTC project authors. All Rights Reserved.
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*
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* Use of this source code is governed by a BSD-style license
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* that can be found in the LICENSE file in the root of the source
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* tree. An additional intellectual property rights grant can be found
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* in the file PATENTS. All contributing project authors may
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* be found in the AUTHORS file in the root of the source tree.
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*/
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#ifndef MODULES_AUDIO_PROCESSING_VAD_GMM_H_
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#define MODULES_AUDIO_PROCESSING_VAD_GMM_H_
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namespace webrtc {
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// A structure that specifies a GMM.
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// A GMM is formulated as
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// f(x) = w[0] * mixture[0] + w[1] * mixture[1] + ... +
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// w[num_mixtures - 1] * mixture[num_mixtures - 1];
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// Where a 'mixture' is a Gaussian density.
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struct GmmParameters {
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// weight[n] = log(w[n]) - `dimension`/2 * log(2*pi) - 1/2 * log(det(cov[n]));
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// where cov[n] is the covariance matrix of mixture n;
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const double* weight;
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// pointer to the first element of a `num_mixtures`x`dimension` matrix
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// where kth row is the mean of the kth mixture.
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const double* mean;
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// pointer to the first element of a `num_mixtures`x`dimension`x`dimension`
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// 3D-matrix, where the kth 2D-matrix is the inverse of the covariance
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// matrix of the kth mixture.
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const double* covar_inverse;
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// Dimensionality of the mixtures.
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int dimension;
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// number of the mixtures.
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int num_mixtures;
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};
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// Evaluate the given GMM, according to `gmm_parameters`, at the given point
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// `x`. If the dimensionality of the given GMM is larger that the maximum
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// acceptable dimension by the following function -1 is returned.
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double EvaluateGmm(const double* x, const GmmParameters& gmm_parameters);
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} // namespace webrtc
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#endif // MODULES_AUDIO_PROCESSING_VAD_GMM_H_
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