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010   $a3-319-73059-2
024 7 $a10.1007/978-3-319-73059-2
035   $a(CKB)4100000001381519
035   $a(DE-He213)978-3-319-73059-2
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035   $a(PPN)222228946
035   $a(EXLCZ)994100000001381519
100   $a20171223d2018      u|         0
101 0 $aeng
135   $aurnn|008mamaa
181   $ctxt$2rdacontent
182   $cc$2rdamedia
183   $acr$2rdacarrier
200 10$aDirection of Arrival Estimation and Localization of Multi-Speech Sources /$fby Nilanjan Dey, Amira S. Ashour
205   $a1st ed. 2018.
210  1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2018.
215   $a1 online resource (XIV, 53 p. 22 illus., 19 illus. in color.) 
225 1 $aSpringerBriefs in Speech Technology, Studies in Speech Signal Processing, Natural Language Understanding, and Machine Learning,$x2191-737X
311   $a3-319-73058-4 
320   $aIncludes bibliographical references at the end of each chapters.
327   $aIntroduction -- Background on Acoustics/Speech Signal -- Sources Localization and DOAE Techniques -- Multi-Source Direction of Arrival Estimation Techniques. Applications of Localization and Tracking Problem of Multiple Speech Sources --  Challenges and Future perspectives in speech-sources DOAE and localization -- Conclusion.
330   $aThis book presents research and applications on arrival estimation and localization in speech processing to ensure that the broad vision of the direction of arrival estimation (DOAE) / localization of speech sources is well-established. The book first provides a brief overview of the most classical direction of arrival estimation and localization techniques. It then introduces the concept and model of acoustics sources and then highlights the most contemporary studies on this pervasive problem. In addition, the authors explore employing the optimization algorithms to improve the DOAE techniques. The book then highlights the concept and principles of the multi-DOAE approaches. Using a microphone array, the book introduces the localization and tracking problem of multiple speech/acoustic sources. It includes several applications and real-life speech sources localization based on the DOAE approaches. The book reports the challenges facing the DOAE techniques in speech-sources localization. The book pertains to researchers, designers, and engineers in speech processing fields.
410  0$aSpringerBriefs in Speech Technology, Studies in Speech Signal Processing, Natural Language Understanding, and Machine Learning,$x2191-737X
606   $aSignal processing
606   $aImage processing
606   $aSpeech processing systems
606   $aComputational linguistics
606   $aNatural language processing (Computer science)
606   $aSignal, Image and Speech Processing$3https://scigraph.springernature.com/ontologies/product-market-codes/T24051
606   $aComputational Linguistics$3https://scigraph.springernature.com/ontologies/product-market-codes/N22000
606   $aNatural Language Processing (NLP)$3https://scigraph.springernature.com/ontologies/product-market-codes/I21040
615  0$aSignal processing.
615  0$aImage processing.
615  0$aSpeech processing systems.
615  0$aComputational linguistics.
615  0$aNatural language processing (Computer science).
615 14$aSignal, Image and Speech Processing.
615 24$aComputational Linguistics.
615 24$aNatural Language Processing (NLP).
676   $a006.454
700   $aDey$b Nilanjan$4aut$4http://id.loc.gov/vocabulary/relators/aut$0846728
702   $aAshour$b Amira S$4aut$4http://id.loc.gov/vocabulary/relators/aut
801  0$bMiAaPQ
801  1$bMiAaPQ
801  2$bMiAaPQ
906   $aBOOK
912   $a9910767581703321
996   $aDirection of Arrival Estimation and Localization of Multi-Speech Sources$93655836
997   $aUNINA