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010   $a3-319-63450-X
024 7 $a10.1007/978-3-319-63450-0
035   $a(CKB)4100000000586794
035   $a(DE-He213)978-3-319-63450-0
035   $a(MiAaPQ)EBC5051148
035   $a(PPN)204536634
035   $a(EXLCZ)994100000000586794
100   $a20170921d2018      u|         0
101 0 $aeng
135   $aurnn#008mamaa
181   $ctxt$2rdacontent
182   $cc$2rdamedia
183   $acr$2rdacarrier
200 10$aComputational Analysis of Sound Scenes and Events /$fedited by Tuomas Virtanen, Mark D. Plumbley, Dan Ellis
205   $a1st ed. 2018.
210  1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2018.
215   $a1 online resource (X, 422 p. 81 illus., 54 illus. in color.)
311 08$a3-319-63449-6 
327   $aIntroduction to sound scene and event analysis.- The Machine Learning Approach for Analysis of Sound Scenes and Events -- Acoustics and psychacoustics of sound scenes and events -- Acoustic features for environmental sound analysis -- Statistical Methods for Scene and Event Classification -- Datasets and evaluation -- Everyday Sound Categorization -- Approaches to complex sound scene analysis -- Multiview approaches to event detection and scene analysis -- Sound sharing and retrieval -- Computational bioacoustic scene analysis -- Audio Event Recognition in the Smart Home -- Sound Analysis in Smart Cities -- Future Perspective -- Index.
330   $aThis book presents computational methods for extracting the useful information from audio signals, collecting the state of the art in the field of sound event and scene analysis. The authors cover the entire procedure for developing such methods, ranging from data acquisition and labeling, through the design of taxonomies used in the systems, to signal processing methods for feature extraction and machine learning methods for sound recognition. The book also covers advanced techniques for dealing with environmental variation and multiple overlapping sound sources, and taking advantage of multiple microphones or other modalities. The book gives examples of usage scenarios in large media databases, acoustic monitoring, bioacoustics, and context-aware devices. Graphical illustrations of sound signals and their spectrographic representations are presented, as well as block diagrams and pseudocode of algorithms. Gives an overview of methods for computational analysis of sounds scenes and events, allowing those new to the field to become fully informed; Covers all the aspects of the machine learning approach to computational analysis of sound scenes and events, ranging from data capture and labeling process to development of algorithms; Includes descriptions of algorithms accompanied by a website from which software implementations can be downloaded, facilitating practical interaction with the techniques.
606   $aSignal processing
606   $aImage processing
606   $aSpeech processing systems
606   $aAcoustical engineering
606   $aApplication software
606   $aUser interfaces (Computer systems)
606   $aSignal, Image and Speech Processing$3https://scigraph.springernature.com/ontologies/product-market-codes/T24051
606   $aEngineering Acoustics$3https://scigraph.springernature.com/ontologies/product-market-codes/T16000
606   $aComputer Appl. in Social and Behavioral Sciences$3https://scigraph.springernature.com/ontologies/product-market-codes/I23028
606   $aUser Interfaces and Human Computer Interaction$3https://scigraph.springernature.com/ontologies/product-market-codes/I18067
615  0$aSignal processing.
615  0$aImage processing.
615  0$aSpeech processing systems.
615  0$aAcoustical engineering.
615  0$aApplication software.
615  0$aUser interfaces (Computer systems)
615 14$aSignal, Image and Speech Processing.
615 24$aEngineering Acoustics.
615 24$aComputer Appl. in Social and Behavioral Sciences.
615 24$aUser Interfaces and Human Computer Interaction.
676   $a621.382
702   $aVirtanen$b Tuomas$4edt$4http://id.loc.gov/vocabulary/relators/edt
702   $aPlumbley$b Mark D$4edt$4http://id.loc.gov/vocabulary/relators/edt
702   $aEllis$b Dan$4edt$4http://id.loc.gov/vocabulary/relators/edt
906   $aBOOK
912   $a9910299896103321
996   $aComputational Analysis of Sound Scenes and Events$92511908
997   $aUNINA