01257oam 2200421zu 450 991014119230332120241212220147.0(CKB)2670000000140108(SSID)ssj0000669061(PQKBManifestationID)12310142(PQKBTitleCode)TC0000669061(PQKBWorkID)10705058(PQKB)10239689(NjHacI)992670000000140108(EXLCZ)99267000000014010820160829d2011 uy engur|||||||||||txtccr2011 22nd International Workshop on Database and Expert Systems Applications[Place of publication not identified]IEEE20111 online resourceBibliographic Level Mode of Issuance: Monograph9780769544861 076954486X 9781457709821 1457709821 Database managementCongressesDatabase management005.7565ieeePQKBPROCEEDING99101411923033212011 22nd International Workshop on Database and Expert Systems Applications2367419UNINA03617nam 22006015 450 991025432610332120251116182740.03-319-53613-310.1007/978-3-319-53613-2(CKB)3710000001404513(DE-He213)978-3-319-53613-2(MiAaPQ)EBC4872968(PPN)202993361(EXLCZ)99371000000140451320170606d2017 u| 0engurnn#008mamaatxtrdacontentcrdamediacrrdacarrierRobust Digital Processing of Speech Signals /by Branko Kovacevic, Milan M. Milosavljevic, Mladen Veinović, Milan Marković1st ed. 2017.Cham :Springer International Publishing :Imprint: Springer,2017.1 online resource (XII, 224 p. 54 illus.)3-319-53611-7 Includes bibliographical references and index.Modelling of Speech Signal -- Review of Standard Methods -- Fundamentals of Robust Parameter Estimation -- Robust Nonrecursive AR Analysis of Speech Signals -- Robust Recursive AR Analysis of Speech Signals -- Robust Estimation Based on Pattern Recognition -- Application of Robust Estimators in Speech Signal Processing.This book focuses on speech signal phenomena, presenting a robustification of the usual speech generation models with regard to the presumed types of excitation signals, which is equivalent to the introduction of a class of nonlinear models and the corresponding criterion functions for parameter estimation. Compared to the general class of nonlinear models, such as various neural networks, these models possess good properties of controlled complexity, the option of working in “online” mode, as well as a low information volume for efficient speech encoding and transmission. Providing comprehensive insights, the book is based on the authors’ research, which has already been published, supplemented by additional texts discussing general considerations of speech modeling, linear predictive analysis and robust parameter estimation.Signal processingImage processingSpeech processing systemsNatural language processing (Computer science)Computational intelligenceSignal, Image and Speech Processinghttps://scigraph.springernature.com/ontologies/product-market-codes/T24051Natural Language Processing (NLP)https://scigraph.springernature.com/ontologies/product-market-codes/I21040Computational Intelligencehttps://scigraph.springernature.com/ontologies/product-market-codes/T11014Signal processing.Image processing.Speech processing systems.Natural language processing (Computer science)Computational intelligence.Signal, Image and Speech Processing.Natural Language Processing (NLP).Computational Intelligence.621.382Kovačević Brankoauthttp://id.loc.gov/vocabulary/relators/aut872832Milosavljevic Milan Mauthttp://id.loc.gov/vocabulary/relators/autVeinović Mladenauthttp://id.loc.gov/vocabulary/relators/autMarković Milanauthttp://id.loc.gov/vocabulary/relators/autBOOK9910254326103321Robust Digital Processing of Speech Signals1948570UNINA