03237nam 2200637 a 450 991043790570332120200520144314.0978129919743512991974349781461463603146146360210.1007/978-1-4614-6360-3(CKB)2670000000326706(EBL)1106445(OCoLC)826853787(SSID)ssj0000870774(PQKBManifestationID)11957708(PQKBTitleCode)TC0000870774(PQKBWorkID)10818565(PQKB)10130801(DE-He213)978-1-4614-6360-3(MiAaPQ)EBC1106445(PPN)168305097(EXLCZ)99267000000032670620130130d2013 uy 0engur|n|---|||||txtccrRobust emotion recognition using spectral and prosodic features /K. Sreenivasa Rao, Shashidhar G. Koolagudi1st ed. 2013.New York Springer20131 online resource (126 p.)SpringerBriefs in electrical and computer engineering.Speech technology,2191-737XDescription based upon print version of record.9781461463597 1461463599 Includes bibliographical references.Introduction -- 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).In 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.SpringerBriefs in Speech Technology, Studies in Speech Signal Processing, Natural Language Understanding, and Machine Learning,2191-737XLanguage and emotionsProsodic analysis (Linguistics)Language and emotions.Prosodic analysis (Linguistics)414.6Sreenivasa Rao K1614710Koolagudi Shashidhar G1752900MiAaPQMiAaPQMiAaPQBOOK9910437905703321Robust emotion recognition using spectral and prosodic features4189571UNINA