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Autore: | Krothapalli Sreenivasa Rao |
Titolo: | Emotion recognition using speech features / / Sreenivasa Rao Krothapalli, Shashidhar G. Koolagudi |
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 |
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 |
Opac: | Controlla la disponibilità qui |