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Emotion recognition using speech features / / Sreenivasa Rao Krothapalli, Shashidhar G. Koolagudi



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Autore: Krothapalli Sreenivasa Rao Visualizza persona
Titolo: Emotion recognition using speech features / / Sreenivasa Rao Krothapalli, Shashidhar G. Koolagudi Visualizza cluster
Pubblicazione: New York, : Springer, 2013
Edizione: 1st ed. 2013.
Descrizione fisica: 1 online resource (133 p.)
Disciplina: 006.454
Soggetto topico: Emotions
Speech perception
Altri autori: KoolagudiShashidhar G  
Note generali: Description based upon print version of record.
Nota di bibliografia: Includes bibliographical references.
Nota di contenuto: Introduction -- Speech Emotion Recognition: A Review -- Emotion Recognition Using Excitation Source Information -- Emotion Recognition Using Vocal Tract Information -- Emotion Recognition Using Prosodic Information -- Summary and Conclusions -- Linear Prediction Analysis of Speech -- MFCC Features -- Gaussian Mixture Model (GMM).
Sommario/riassunto: “Emotion Recognition Using Speech Features” covers emotion-specific features present in speech and discussion of suitable models for capturing emotion-specific information for distinguishing different emotions.  The content of this book is important for designing and developing  natural and sophisticated speech systems. Drs. Rao and Koolagudi lead a discussion of how emotion-specific information is embedded in speech and how to acquire emotion-specific knowledge using appropriate statistical models. Additionally, the authors provide information about using evidence derived from various features and models. The acquired emotion-specific knowledge is useful for synthesizing emotions. Discussion includes global and local prosodic features at syllable, word and phrase levels, helpful for capturing emotion-discriminative information; use of complementary evidences obtained from excitation sources, vocal tract systems and prosodic features in order to enhance the emotion recognition performance;  and proposed multi-stage and hybrid models for improving the emotion recognition performance.
Titolo autorizzato: Emotion recognition using speech features  Visualizza cluster
ISBN: 1-283-90876-X
1-4614-5143-4
Formato: Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione: Inglese
Record Nr.: 9910437893803321
Lo trovi qui: Univ. Federico II
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Serie: SpringerBriefs in electrical and computer engineering.