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Titlebook: Analysis of Verbal and Nonverbal Communication and Enactment.The Processing Issues; COST 2102 Internatio Anna Esposito,Alessandro Vinciarel

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期刊全称Analysis of Verbal and Nonverbal Communication and Enactment.The Processing Issues
期刊简称COST 2102 Internatio
影响因子2023Anna Esposito,Alessandro Vinciarelli,Anton Nijholt
视频videohttp://file.papertrans.cn/157/156464/156464.mp4
发行地址Up-to-date results.Fast-track conference proceedings.State-of-the-art research
学科分类Lecture Notes in Computer Science
图书封面Titlebook: Analysis of Verbal and Nonverbal Communication and Enactment.The Processing Issues; COST 2102 Internatio Anna Esposito,Alessandro Vinciarel
影响因子This volume brings together the advanced research results obtained by the European COST Action 2102 "Cross Modal Analysis of Verbal and Nonverbal Communication", primarily discussed at the PINK SSPnet-COST2102 International Conference on Analysis of Verbal and Nonverbal Communication and Enactment: The Processing Issues, held in Budapest, Hungary, in September 2010.The 40 papers presented were carefully reviewed and selected for inclusion in the book. The volume is arranged into two scientific sections. The first section, Multimodal Signals: Analysis, Processing and Computational Issues, deals with conjectural and processing issues of defining models, algorithms, and heuristic strategies for data analysis, coordination of the data flow and optimal encoding of multi-channel verbal and nonverbal features. The second section, Verbal and Nonverbal Social Signals, presents original studies that provide theoretical and practical solutions to the modelling of timing synchronization between linguistic and paralinguistic expressions, actions, body movements, activities in human interaction and on their assistance for an effective human-machine interactions.
Pindex Conference proceedings 2011
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Technical applications of neural fieldsa partly restricted phoneme recognizer. We demonstrate the method on Czech-to-Polish adaptation of two prototype systems, one aimed at handicapped persons and another prepared for fluent dictation with large vocabulary.
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https://doi.org/10.1007/978-1-4615-5581-0components. The morphological analyzer uses data obtained from the Slovak National Corpus. The syntactic analyzer uses context-free grammars. Several evaluation experiments were done with limited range of sentences for obtaining information about success of the proposed approach.
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