Titlebook: Neuronal Oscillations of Wakefulness and Sleep; Windows on Spontaneo Thien Thanh Dang-Vu,Richard Courtemanche Book 2020 Springer Science+Bu

Calculus

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Bénédicte Amilhon,Guillaume Ducharme,Jesse Jackson,Romain Goutagny,Sylvain Williamsption of atypicality by neurotypical listeners), disfluencies of speech (comparison with neurotypical controls), comprehension problems (role of prosody, role of disfluencies, other causes), gaze behavior (eye 978-981-19-8119-7978-981-19-8117-3Series ISSN 2197-8700 Series E-ISSN 2197-8719

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these brain rhythms could provide functional support to internal states that govern the basic maintenance of local circuit and systemic interactions. During wake, the rhythmicity of cortical and subcortical cir978-1-0716-0658-2978-1-0716-0653-7

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n Speaker Verification (SdSV) challenge 2021 corpora. Evaluation metrics chosen for performance evaluation are equal error rate (EER), minimum decision cost function (minDCF), and actual decision cost function (actDCF). Experimental results depict the proposed hybrid approach yielding improvements o

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Richard Courtemanche,Daniela Popa,Clément Lénaupon contextual information when interpreting the interlocutor’s speech can be difficult for persons with ASD. The tendency of persons with ASD to understand things literally and to miss implicit messages in interactions has been widely documented. In addition, ASD is characterised by the avoidance

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Maxime Lévesque,Charles Behr,Jean Gotman,Massimo Avoliult using the n-gram analysis to identify positive, negative and neutral sentiments related to pizza food. In the reported result, we evaluated the use of micro-blogging message content as an indicator of opening new eating-related businesses in a particular geographical region.

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in the generation of contextual representation of words. To evaluate the performance of various embedding techniques, the representations generated are given as input to a standard machine learning technique for sentiment classification. The efficiency of several embedding algorithm is analyzed by

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Igor Timofeev,Maxime E. Bonjean,Maksim Bazhenovd found out where Tamil is in the arena of technological development and looks forward further to its fast technological development. Computational linguistics in Tamil NLP is gaining more attraction, and various data sets available for research is highlighted in this work for further exploration.