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ID:33187910
大小:6.87 MB
页数:328页
时间:2019-02-21
《Real-time Speech and Music Classification by Large Audio Feature Space Extraction (2016)》由会员上传分享,免费在线阅读,更多相关内容在学术论文-天天文库。
1、SpringerThesesRecognizingOutstandingPh.D.ResearchFlorianEybenReal-timeSpeechandMusicClassificationbyLargeAudioFeatureSpaceExtractionSpringerThesesRecognizingOutstandingPh.D.ResearchAimsandScopeTheseries“SpringerTheses”bringstogetheraselectionoftheverybestPh.D.thesesf
2、romaroundtheworldandacrossthephysicalsciences.Nominatedandendorsedbytworecognizedspecialists,eachpublishedvolumehasbeenselectedforitsscientificexcellenceandthehighimpactofitscontentsforthepertinentfieldofresearch.Forgreateraccessibilitytonon-specialists,thepublishedver
3、sionsincludeanextendedintroduction,aswellasaforewordbythestudent’ssupervisorexplainingthespecialrelevanceoftheworkforthefield.Asawhole,theserieswillprovideavaluableresourcebothfornewcomerstotheresearchfieldsdescribed,andforotherscientistsseekingdetailedbackgroundinform
4、ationonspecialquestions.Finally,itprovidesanaccrediteddocumentationofthevaluablecontributionsmadebytoday’syoungergenerationofscientists.Thesesareacceptedintotheseriesbyinvitednominationonlyandmustfulfillallofthefollowingcriteria•TheymustbewritteningoodEnglish.•Thetopi
5、cshouldfallwithintheconfinesofChemistry,Physics,EarthSciences,EngineeringandrelatedinterdisciplinaryfieldssuchasMaterials,Nanoscience,ChemicalEngineering,ComplexSystemsandBiophysics.•Theworkreportedinthethesismustrepresentasignificantscientificadvance.•Ifthethesisinclude
6、spreviouslypublishedmaterial,permissiontoreproducethismustbegainedfromtherespectivecopyrightholder.•Theymusthavebeenexaminedandpassedduringthe12monthspriortonomination.•Eachthesisshouldincludeaforewordbythesupervisoroutliningthesignifi-canceofitscontent.•Thethesesshou
7、ldhaveaclearlydefinedstructureincludinganintroductionaccessibletoscientistsnotexpertinthatparticularfield.Moreinformationaboutthisseriesathttp://www.springer.com/series/8790FlorianEybenReal-timeSpeechandMusicClassificationbyLargeAudioFeatureSpaceExtractionDoctoralThesis
8、acceptedbytheTechnischeUniversitätMünchen,Germany123AuthorSupervisorsDr.FlorianEybenProf.BjörnSchullerInstituteforHuman-MachineDepa
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