LEADER 01145nam 2200349Ia 450 001 996383925303316 005 20221108081138.0 035 $a(CKB)1000000000595896 035 $a(EEBO)2240861015 035 $a(OCoLC)13114089 035 $a(EXLCZ)991000000000595896 100 $a19860206d1682 uy | 101 0 $aeng 135 $aurbn||||a|bb| 200 14$aThe Popes supremacy destroyed by the French King, as it was by King Henry VIII of England$b[electronic resource] $ecommunicated in a letter from Paris, 25 March, 1682 210 $a[London $cPrinted for J. Wilkins$d1682] 215 $a4 p 300 $aCaption title; imprint from colophon. 300 $aSigned at end: T.N. 300 $aReproduction of original in Huntington Library. 330 $aeebo-0113 606 $aChurch and state$zFrance 615 0$aChurch and state 700 $aT. N$01002798 801 0$bEAA 801 1$bEAA 801 2$bm/c 801 2$bWaOLN 906 $aBOOK 912 $a996383925303316 996 $aThe Popes supremacy destroyed by the French King, as it was by King Henry VIII of England$92329627 997 $aUNISA LEADER 03237nam 2200637 a 450 001 9910437905703321 005 20200520144314.0 010 $a9781299197435 010 $a1299197434 010 $a9781461463603 010 $a1461463602 024 7 $a10.1007/978-1-4614-6360-3 035 $a(CKB)2670000000326706 035 $a(EBL)1106445 035 $a(OCoLC)826853787 035 $a(SSID)ssj0000870774 035 $a(PQKBManifestationID)11957708 035 $a(PQKBTitleCode)TC0000870774 035 $a(PQKBWorkID)10818565 035 $a(PQKB)10130801 035 $a(DE-He213)978-1-4614-6360-3 035 $a(MiAaPQ)EBC1106445 035 $a(PPN)168305097 035 $a(EXLCZ)992670000000326706 100 $a20130130d2013 uy 0 101 0 $aeng 135 $aur|n|---||||| 181 $ctxt 182 $cc 183 $acr 200 10$aRobust emotion recognition using spectral and prosodic features /$fK. Sreenivasa Rao, Shashidhar G. Koolagudi 205 $a1st ed. 2013. 210 $aNew York $cSpringer$d2013 215 $a1 online resource (126 p.) 225 0$aSpringerBriefs in electrical and computer engineering.$pSpeech technology,$x2191-737X 300 $aDescription based upon print version of record. 311 08$a9781461463597 311 08$a1461463599 320 $aIncludes bibliographical references. 327 $aIntroduction -- Robust Emotion Recognition using Pitch Synchronous and Sub-syllabic Spectral Features -- Robust Emotion Recognition using Word and Syllable Level Prosodic Features -- Robust Emotion Recognition using Combination of Excitation Source, Spectral and Prosodic Features -- Robust Emotion Recognition using Speaking Rate Features -- Emotion Recognition on Real Life Emotions -- Summary and Conclusions -- MFCC Features -- Gaussian Mixture Model (GMM). 330 $aIn this brief, the authors discuss recently explored spectral (sub-segmental and pitch synchronous) and prosodic (global and local features at word and syllable levels in different parts of the utterance) features for discerning emotions in a robust manner. The authors also delve into the complementary evidences obtained from excitation source, vocal tract system and prosodic features for the purpose of enhancing emotion recognition performance. Features based on speaking rate characteristics are explored with the help of multi-stage and hybrid models for further improving emotion recognition performance. Proposed spectral and prosodic features are evaluated on real life emotional speech corpus. 410 0$aSpringerBriefs in Speech Technology, Studies in Speech Signal Processing, Natural Language Understanding, and Machine Learning,$x2191-737X 606 $aLanguage and emotions 606 $aProsodic analysis (Linguistics) 615 0$aLanguage and emotions. 615 0$aProsodic analysis (Linguistics) 676 $a414.6 700 $aSreenivasa Rao$b K$01614710 701 $aKoolagudi$b Shashidhar G$01752900 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910437905703321 996 $aRobust emotion recognition using spectral and prosodic features$94189571 997 $aUNINA