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THE INFLUENCE OF LINGUISTIC STYLE: A MATCHED-GUISE EXPERIMENT ASSESSING THE EFFECTS OF SOURCE ACCENT, ARGUMENT QUALITY, AND ISSUE INVOLVEMENT ON PERSUASION
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In: Theses and Dissertations--Communication (2022)
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Functional neuroanatomy of language without speech: An ALE meta-analysis of sign language ...
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Language networks in aphasia and health: A 1000 participant activation likelihood estimation meta-analysis. ...
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Consistency of a nonword repetition task to discriminate children with and without developmental language disorder in Catalan-Spanish and European Portuguese speaking children
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Consistency of a Nonword Repetition Task to Discriminate Children with and without Developmental Language Disorder in Catalan-Spanish and European Portuguese Speaking Children
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Consistency of a nonword repetition task to discriminate children with and without developmental language disorder in catalan-spanish and european portuguese speaking children
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Re-evaluating phoneme frequencies: Supplementary materials S6–S7 ...
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Re-evaluating phoneme frequencies: Supplementary materials ...
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Re-evaluating phoneme frequencies: Supplementary materials S6–S7 ...
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Re-evaluating phoneme frequencies: Supplementary materials S6–S7 ...
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Automated face recognition in forensic science: Review and perspectives
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In: Forensic Science International, vol. 307, pp. 110124 (2020)
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Neural Methods Towards Concept Discovery from Text via Knowledge Transfer
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In: http://rave.ohiolink.edu/etdc/view?acc_num=osu1572387318988274 (2019)
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Developing a real-time translator from neural signals to text: An articulatory phonetics approach
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In: Proceedings of the Society for Computation in Linguistics (2019)
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Some Order Preserving Inequalities for Cross Entropy and Kullback–Leibler Divergence
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In: Entropy ; Volume 20 ; Issue 12 (2018)
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Selecting the Optimal Mine Ventilation System via a Decision Making Framework under Hesitant Linguistic Environment
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In: Symmetry ; Volume 10 ; Issue 7 (2018)
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Criterion for minimum of mean information deviation for distinguishing random signals with similar characteristics
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In: Radioelectronics and Communications Systems; Том 61, № 9 (2018); 419-430 ; 1934-8061 ; 0735-2727 (2018)
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Abstract:
The problem of distinguishing random signals with similar spectral and correlational characteristics is considered. To solve this problem, a criterion for a minimum of the mean divergence of the hypotheses taken with respect to the true distribution in the Kullback–Liebler information metric is proposed. Using this criterion, an optimal algorithm is synthesized, which allows achieving a guaranteed efficiency gain in discriminating random signals of similar structure. An example of its implementation in the problem of automatic speech recognition at the basic, phonetic level of signal processing is considered. Estimates of its effectiveness are obtained. Theoretical estimates of the effectiveness are confirmed by the results of the experiment. The author’s special-purpose information system was used for this. On the basis of the obtained results, recommendations are given for the practical application of the proposed criterion in problems of statistical signal processing, where a problem of verifying close statistical hypotheses arises.
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Keyword:
information-theoretic approach; maximum likelihood criterion; problem of similar hypotheses; random signal; signals distinguishing; statistical hypotheses verification
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URL: http://radioelektronika.org/article/view/S0735272718090042
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Log Likelihood Spectral Distance, Entropy Rate Power, and Mutual Information with Applications to Speech Coding
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In: ENTROPY, vol 19, iss 9 (2017)
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Scope, scalarity, and polarity in aspectual marking : the case of English 'until' and Spanish 'hasta'
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Common and distinct brain regions in both parietal and frontal cortex support symbolic and nonsymbolic number processing in humans: A functional neuroimaging meta-analysis
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In: Brain and Mind Institute Researchers' Publications (2017)
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