The Experts below are selected from a list of 267 Experts worldwide ranked by ideXlab platform
A. Alcaim - One of the best experts on this subject based on the ideXlab platform.
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Automatic speaker verification based on fractional Brownian Motion Process
Electronics Letters, 2004Co-Authors: Ricardo Sant'ana, R. Coelho, A. AlcaimAbstract:A novel text-independent verification system based on the fractional Brownian Motion (M_dim_fBm) for automatic speaker recognition is presented. The performance results of the M_dim_fBm were compared to those achieved with the Gaussian mixture models (GMM) classifier using the mel-cepstral coefficients. A speech database, obtained from fixed and cellular phones, uttered by 75 different speakers was used. The results have shown the superior performance of the M_dim_fBm classifier in terms of recognition accuracy. In addition, the proposed verification scheme employs a much simpler modelling structure as compared to the GMM.
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A new classifier for speaker verification based on the fractional Brownian Motion Process
Lecture Notes in Computer Science, 2004Co-Authors: Ricardo Sant Ana, R. Coelho, A. AlcaimAbstract:A novel text-independent verification system based on the fractional Brownian Motion (M―dim―fBm) for automatic speaker recognition (ASR) is presented in this paper. The performance of the proposed M―dim―fBm was compared to those achieved with the GMM (Gaussian Mixture Models) classifier using the mel-cepstral coefficients. We have used a speech database - obtained from fixed and cellular phones - uttered by 75 different speakers. The results have shown the superior performance of the M―dim―fBm classifier in terms of recognition accuracy. In addition, the proposed classifier employs a much simpler modeling structure as compared to the GMM.
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TSD - A New Classifier for Speaker Verification Based on the Fractional Brownian Motion Process
Text Speech and Dialogue, 2004Co-Authors: Ricardo Sant Ana, R. Coelho, A. AlcaimAbstract:A novel text-independent verification system based on the fractional Brownian Motion (M_dim_fBm) for automatic speaker recognition (ASR) is presented in this paper. The performance of the proposed M_dim_fBm was compared to those achieved with the GMM (Gaussian Mixture Models) classifier using the mel-cepstral coefficients. We have used a speech database – obtained from fixed and cellular phones – uttered by 75 different speakers. The results have shown the superior performance of the M_dim_fBm classifier in terms of recognition accuracy. In addition, the proposed classifier employs a much simpler modeling structure as compared to the GMM.
Ricardo Sant Ana - One of the best experts on this subject based on the ideXlab platform.
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A new classifier for speaker verification based on the fractional Brownian Motion Process
Lecture Notes in Computer Science, 2004Co-Authors: Ricardo Sant Ana, R. Coelho, A. AlcaimAbstract:A novel text-independent verification system based on the fractional Brownian Motion (M―dim―fBm) for automatic speaker recognition (ASR) is presented in this paper. The performance of the proposed M―dim―fBm was compared to those achieved with the GMM (Gaussian Mixture Models) classifier using the mel-cepstral coefficients. We have used a speech database - obtained from fixed and cellular phones - uttered by 75 different speakers. The results have shown the superior performance of the M―dim―fBm classifier in terms of recognition accuracy. In addition, the proposed classifier employs a much simpler modeling structure as compared to the GMM.
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TSD - A New Classifier for Speaker Verification Based on the Fractional Brownian Motion Process
Text Speech and Dialogue, 2004Co-Authors: Ricardo Sant Ana, R. Coelho, A. AlcaimAbstract:A novel text-independent verification system based on the fractional Brownian Motion (M_dim_fBm) for automatic speaker recognition (ASR) is presented in this paper. The performance of the proposed M_dim_fBm was compared to those achieved with the GMM (Gaussian Mixture Models) classifier using the mel-cepstral coefficients. We have used a speech database – obtained from fixed and cellular phones – uttered by 75 different speakers. The results have shown the superior performance of the M_dim_fBm classifier in terms of recognition accuracy. In addition, the proposed classifier employs a much simpler modeling structure as compared to the GMM.
R. Coelho - One of the best experts on this subject based on the ideXlab platform.
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Automatic speaker verification based on fractional Brownian Motion Process
Electronics Letters, 2004Co-Authors: Ricardo Sant'ana, R. Coelho, A. AlcaimAbstract:A novel text-independent verification system based on the fractional Brownian Motion (M_dim_fBm) for automatic speaker recognition is presented. The performance results of the M_dim_fBm were compared to those achieved with the Gaussian mixture models (GMM) classifier using the mel-cepstral coefficients. A speech database, obtained from fixed and cellular phones, uttered by 75 different speakers was used. The results have shown the superior performance of the M_dim_fBm classifier in terms of recognition accuracy. In addition, the proposed verification scheme employs a much simpler modelling structure as compared to the GMM.
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A new classifier for speaker verification based on the fractional Brownian Motion Process
Lecture Notes in Computer Science, 2004Co-Authors: Ricardo Sant Ana, R. Coelho, A. AlcaimAbstract:A novel text-independent verification system based on the fractional Brownian Motion (M―dim―fBm) for automatic speaker recognition (ASR) is presented in this paper. The performance of the proposed M―dim―fBm was compared to those achieved with the GMM (Gaussian Mixture Models) classifier using the mel-cepstral coefficients. We have used a speech database - obtained from fixed and cellular phones - uttered by 75 different speakers. The results have shown the superior performance of the M―dim―fBm classifier in terms of recognition accuracy. In addition, the proposed classifier employs a much simpler modeling structure as compared to the GMM.
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TSD - A New Classifier for Speaker Verification Based on the Fractional Brownian Motion Process
Text Speech and Dialogue, 2004Co-Authors: Ricardo Sant Ana, R. Coelho, A. AlcaimAbstract:A novel text-independent verification system based on the fractional Brownian Motion (M_dim_fBm) for automatic speaker recognition (ASR) is presented in this paper. The performance of the proposed M_dim_fBm was compared to those achieved with the GMM (Gaussian Mixture Models) classifier using the mel-cepstral coefficients. We have used a speech database – obtained from fixed and cellular phones – uttered by 75 different speakers. The results have shown the superior performance of the M_dim_fBm classifier in terms of recognition accuracy. In addition, the proposed classifier employs a much simpler modeling structure as compared to the GMM.
Chihoon Lee - One of the best experts on this subject based on the ideXlab platform.
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A geometric drift inequality for a reflected fractional Brownian Motion Process on the positive orthant
Journal of Applied Probability, 2011Co-Authors: Chihoon LeeAbstract:We study a d-dimensional reflected fractional Brownian Motion (RFBM) Process on the positive orthant S = R+d, with drift r0 ∈ Rd and Hurst parameter H ∈ (½, 1). Under a natural stability condition on the drift vector r0 and reflection directions, we establish a geometric drift towards a compact set for the 1-skeleton chain Z of the RFBM Process Z; that is, there exist β, b ∈ (0, ∞) and a compact set C ⊂ S such that ΔV(x):= Ex[V(Z(1))] - V(x) ≤ -βV(x) + b1C(x), x ∈ S, for an exponentially growing Lyapunov function V : S → [1, ∞). For a wide class of Markov Processes, such a drift inequality is known as a necessary and sufficient condition for exponential ergodicity. Indeed, similar drift inequalities have been established for reflected Processes driven by standard Brownian Motions, and our result can be viewed as their fractional Brownian Motion counterpart. We also establish that the return times to the set C itself are geometrically bounded. Motivation for this study is that RFBM appears as a limiting workload Process for fluid queueing network models fed by a large number of heavy-tailed ON/OFF sources in heavy traffic.
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On the Return Time for a Reflected Fractional Brownian Motion Process on the Positive Orthant
Journal of Applied Probability, 2011Co-Authors: Chihoon LeeAbstract:We consider a d-dimensional reflected fractional Brownian Motion (RFBM) Process on the positive orthant S = R + d , with drift r 0 ∈ R d and Hurst parameter H ∈ (½, 1). Under a natural stability condition on the drift vector r 0 and reflection directions, we establish a return time result for the RFBM Process Z; that is, for some δ, κ > 0, sup x∈B E x [τ B (δ)] < ∞, where B = {x ∈ S : |x| ≤ κ} and τ B (δ) = inf{t ≥ δ : Z(t) ∈ B}. Similar results are known for reflected Processes driven by standard Brownian Motions, and our result can be viewed as their FBM counterpart. Our motivation for this study is that RFBM appears as a limiting workload Process for fluid queueing network models fed by a large number of heavy-tailed ON/OFF sources in heavy traffic.
Jae Gil Choi - One of the best experts on this subject based on the ideXlab platform.
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Rotation of Gaussian Processes on function space
Revista de la Real Academia de Ciencias Exactas Físicas y Naturales. Serie A. Matemáticas, 2019Co-Authors: Seung Jun Chang, David Skoug, Jae Gil ChoiAbstract:The purpose of this paper is to investigate a more general rotation property of Gaussian Processes on the function space $$C_{a,b}[0,T]$$ . The function space $$C_{a,b}[0,T]$$ can be induced by a generalized Brownian Motion Process. The Gaussian Processes used in this paper are neither centered nor stationary.
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An Analytic Operator-Valued Generalized Feynman Integral on Function Space
Bulletin of the Malaysian Mathematical Sciences Society, 2017Co-Authors: Seung Jun Chang, Jae Gil Choi, Il Yong LeeAbstract:In this paper, we use a generalized Brownian Motion Process to define an analytic operator-valued Feynman integral. We then establish the existence of the analytic operator-valued generalized Feynman integral. We next investigate a stability theorem for the analytic operator-valued generalized Feynman integral.
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Generalized analytic Gaussian-Feynman integral on function space
Filomat, 2016Co-Authors: Seung Jun Chang, Hyun Soo Chung, Jae Gil ChoiAbstract:In this article, we introduce the generalized analytic Gaussian-Fourier-Feynman transform and the multiple generalized analytic Gaussian-Fourier-Feynman transform on the function space $C_{a,b}[0,T]$ induced by generalized Brownian Motion Process. We derive a rotation formula for the multiple generalized Gaussian-Fourier-Feynman transform.
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Effect of drift of the generalized Brownian Motion Process: an example for the analytic Feynman integral
Archiv der Mathematik, 2016Co-Authors: Seung Jun Chang, Jae Gil ChoiAbstract:In the theory of the analytic Feynman integral, the integrand is a functional of the standard Brownian Motion Process. In this note, we present an example of a bounded functional which is not Feynman integrable. The bounded functionals discussed in this note are defined in sample paths of the generalized Brownian Motion Process.
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Generalized Analytic Fourier-Feynman Transforms with Respect to Gaussian Processes on Function Space
Filomat, 2016Co-Authors: Seung Jun Chang, Hyun Soo Chung, Jae Gil ChoiAbstract:In this article, we introduce a generalized analytic Fourier-Feynman transform and a multiple generalized analytic Fourier-Feynman transform with respect to Gaussian Processes on the function space Ca;b(0; T) induced by generalized Brownian Motion Process. We derive a rotation formula for our multiple generalized analytic Fourier-Feynman transform.
