The Experts below are selected from a list of 32895 Experts worldwide ranked by ideXlab platform
Andrzej Drygajlo - One of the best experts on this subject based on the ideXlab platform.
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a Probabilistic Measure of modality reliability in speaker verification
International Conference on Acoustics Speech and Signal Processing, 2005Co-Authors: Jonas Richiardi, Plamen J Prodanov, Andrzej DrygajloAbstract:In this paper, a Probabilistic Measure for reliability of speaker verification under noisy acoustic conditions is proposed. A Bayesian network is used to estimate a probability for verification errors, given the GMM-based speaker verification system output and additional information about the level of acoustic noise. In particular, the log-likelihood ratio and a signal-to-noise related feature are used to account for the adverse acoustic conditions. The Probabilistic Measure is subsequently employed in governing a repair sequence of trials for acquiring additional speech presentations which are less likely to lead to unreliable verification. The potential of the proposed method is tested through cross-validation experiments. Finally, the benefits of the repair sequence in terms of verification accuracy is evaluated on a noisy environment speaker verification task.
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ICASSP (1) - A Probabilistic Measure of modality reliability in speaker verification
2005Co-Authors: Jonas Richiardi, Plamen J Prodanov, Andrzej DrygajloAbstract:In this paper, a Probabilistic Measure for reliability of speaker verification under noisy acoustic conditions is proposed. A Bayesian network is used to estimate a probability for verification errors, given the GMM-based speaker verification system output and additional information about the level of acoustic noise. In particular, the log-likelihood ratio and a signal-to-noise related feature are used to account for the adverse acoustic conditions. The Probabilistic Measure is subsequently employed in governing a repair sequence of trials for acquiring additional speech presentations which are less likely to lead to unreliable verification. The potential of the proposed method is tested through cross-validation experiments. Finally, the benefits of the repair sequence in terms of verification accuracy is evaluated on a noisy environment speaker verification task.
Jakob Koscholke - One of the best experts on this subject based on the ideXlab platform.
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a weak symmetry condition for Probabilistic Measures of confirmation
Philosophical Studies, 2018Co-Authors: Jakob KoscholkeAbstract:This paper presents a symmetry condition for Probabilistic Measures of confirmation which is weaker than commutativity symmetry, disconfirmation commutativity symmetry but also antisymmetry. It is based on the idea that for any value a Probabilistic Measure of confirmation can assign there is a corresponding case where degrees of confirmation are symmetric. It is shown that a number of prominent confirmation Measures such as Carnap’s difference function, Rescher’s Measure of confirmation, Gaifman’s confirmation rate and Mortimer’s inverted difference function do not satisfy this condition and instead exhibit a previously unnoticed and rather puzzling behavior in certain cases of disconfirmation. This behavior also carries over to Probabilistic Measures of information change, causal strength, explanatory power and coherence.
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carnap s relevance Measure as a Probabilistic Measure of coherence
Erkenntnis, 2017Co-Authors: Jakob KoscholkeAbstract:Tomoji Shogenji is generally assumed to be the first author to have presented a Probabilistic Measure of coherence. Interestingly, Rudolf Carnap in his Logical Foundations of Probability discussed a function that is based on the very same idea, namely his well-known relevance Measure. This function is largely neglected in the coherence literature because it has been proposed as a Measure of evidential support and still is widely conceived as such. The aim of this paper is therefore to investigate Carnap’s Measure regarding its plausibility as a candidate for a Probabilistic Measure of coherence by comparing it to Shogenji’s. It turns out that both Measures (i) satisfy and violate the same adequacy constraints, (ii) despite not being ordinally equivalent exhibit a strong correlation with each other in a Monte Carlo simulation and (iii) perform similarly in a series of test cases for Probabilistic coherence Measures.
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Carnap’s Relevance Measure as a Probabilistic Measure of Coherence
Erkenntnis, 2016Co-Authors: Jakob KoscholkeAbstract:Tomoji Shogenji is generally assumed to be the first author to have presented a Probabilistic Measure of coherence. Interestingly, Rudolf Carnap in his Logical Foundations of Probability discussed a function that is based on the very same idea, namely his well-known relevance Measure. This function is largely neglected in the coherence literature because it has been proposed as a Measure of evidential support and still is widely conceived as such. The aim of this paper is therefore to investigate Carnap’s Measure regarding its plausibility as a candidate for a Probabilistic Measure of coherence by comparing it to Shogenji’s. It turns out that both Measures (i) satisfy and violate the same adequacy constraints, (ii) despite not being ordinally equivalent exhibit a strong correlation with each other in a Monte Carlo simulation and (iii) perform similarly in a series of test cases for Probabilistic coherence Measures.
Jonas Richiardi - One of the best experts on this subject based on the ideXlab platform.
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a Probabilistic Measure of modality reliability in speaker verification
International Conference on Acoustics Speech and Signal Processing, 2005Co-Authors: Jonas Richiardi, Plamen J Prodanov, Andrzej DrygajloAbstract:In this paper, a Probabilistic Measure for reliability of speaker verification under noisy acoustic conditions is proposed. A Bayesian network is used to estimate a probability for verification errors, given the GMM-based speaker verification system output and additional information about the level of acoustic noise. In particular, the log-likelihood ratio and a signal-to-noise related feature are used to account for the adverse acoustic conditions. The Probabilistic Measure is subsequently employed in governing a repair sequence of trials for acquiring additional speech presentations which are less likely to lead to unreliable verification. The potential of the proposed method is tested through cross-validation experiments. Finally, the benefits of the repair sequence in terms of verification accuracy is evaluated on a noisy environment speaker verification task.
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ICASSP (1) - A Probabilistic Measure of modality reliability in speaker verification
2005Co-Authors: Jonas Richiardi, Plamen J Prodanov, Andrzej DrygajloAbstract:In this paper, a Probabilistic Measure for reliability of speaker verification under noisy acoustic conditions is proposed. A Bayesian network is used to estimate a probability for verification errors, given the GMM-based speaker verification system output and additional information about the level of acoustic noise. In particular, the log-likelihood ratio and a signal-to-noise related feature are used to account for the adverse acoustic conditions. The Probabilistic Measure is subsequently employed in governing a repair sequence of trials for acquiring additional speech presentations which are less likely to lead to unreliable verification. The potential of the proposed method is tested through cross-validation experiments. Finally, the benefits of the repair sequence in terms of verification accuracy is evaluated on a noisy environment speaker verification task.
Petr Kouznetsov - One of the best experts on this subject based on the ideXlab platform.
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reliable broadcast a Probabilistic Measure of broadcast reliability
International Conference on Distributed Computing Systems, 2004Co-Authors: Patrick Eugster, Rachid Guerraoui, Petr KouznetsovAbstract:This paper introduces a new Probabilistic specification of reliable broadcast communication primitives, called �- Reliable Broadcast. This speci.cation captures in a precise way the reliability of practical broadcast algorithms that, on the one hand, were devised with some form of reliability in mind but, on the other hand, are not considered reliableaccording to "traditional" reliability specifications.We illustrate the use of our specification by precisely measuring and comparing the reliability of two popular broadcast algorithms, namely Bimodal Multicast and IP Multicast. In particular, we quantify how the reliability of each algorithm scales with the size of the system.
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ICDCS - -Reliable Broadcast: A Probabilistic Measure of Broadcast Reliability
2004Co-Authors: Patrick Eugster, Rachid Guerraoui, Petr KouznetsovAbstract:This paper introduces a new Probabilistic specification of reliable broadcast communication primitives, called �- Reliable Broadcast. This speci.cation captures in a precise way the reliability of practical broadcast algorithms that, on the one hand, were devised with some form of reliability in mind but, on the other hand, are not considered reliableaccording to "traditional" reliability specifications.We illustrate the use of our specification by precisely measuring and comparing the reliability of two popular broadcast algorithms, namely Bimodal Multicast and IP Multicast. In particular, we quantify how the reliability of each algorithm scales with the size of the system.
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/spl Delta/-reliable broadcast: a Probabilistic Measure of broadcast reliabillity
24th International Conference on Distributed Computing Systems 2004. Proceedings., 2004Co-Authors: Patrick Eugster, Rachid Guerraoui, Petr KouznetsovAbstract:We introduce a new Probabilistic specification of reliable broadcast communication primitives, called /spl Delta/ - reliable broadcast. This specification captures in a precise way the reliability of practical broadcast algorithms that, on the one hand, were devised with some form of reliability in mind but, on the other hand, are not considered reliable according to "traditional" reliability specifications. We illustrate the use of our specification by precisely measuring and comparing the reliability of two popular broadcast algorithms, namely bimodal multicast and IP multicast. In particular, we quantify how the reliability of each algorithm scales with the size of the system.
Plamen J Prodanov - One of the best experts on this subject based on the ideXlab platform.
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a Probabilistic Measure of modality reliability in speaker verification
International Conference on Acoustics Speech and Signal Processing, 2005Co-Authors: Jonas Richiardi, Plamen J Prodanov, Andrzej DrygajloAbstract:In this paper, a Probabilistic Measure for reliability of speaker verification under noisy acoustic conditions is proposed. A Bayesian network is used to estimate a probability for verification errors, given the GMM-based speaker verification system output and additional information about the level of acoustic noise. In particular, the log-likelihood ratio and a signal-to-noise related feature are used to account for the adverse acoustic conditions. The Probabilistic Measure is subsequently employed in governing a repair sequence of trials for acquiring additional speech presentations which are less likely to lead to unreliable verification. The potential of the proposed method is tested through cross-validation experiments. Finally, the benefits of the repair sequence in terms of verification accuracy is evaluated on a noisy environment speaker verification task.
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ICASSP (1) - A Probabilistic Measure of modality reliability in speaker verification
2005Co-Authors: Jonas Richiardi, Plamen J Prodanov, Andrzej DrygajloAbstract:In this paper, a Probabilistic Measure for reliability of speaker verification under noisy acoustic conditions is proposed. A Bayesian network is used to estimate a probability for verification errors, given the GMM-based speaker verification system output and additional information about the level of acoustic noise. In particular, the log-likelihood ratio and a signal-to-noise related feature are used to account for the adverse acoustic conditions. The Probabilistic Measure is subsequently employed in governing a repair sequence of trials for acquiring additional speech presentations which are less likely to lead to unreliable verification. The potential of the proposed method is tested through cross-validation experiments. Finally, the benefits of the repair sequence in terms of verification accuracy is evaluated on a noisy environment speaker verification task.