Isbn: 9781461451426 - emotion recognition using speech features (12 risultati)

Lingua: Inglese
Editore: Springer 2012-11, 2012
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Da: Chiron Media, Wallingford, Regno UnitoChiron Media
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Lingua: Inglese
Editore: Springer, 2012
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Da: Ria Christie Collections, Uxbridge, Regno UnitoRia Christie Collections
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Condizione: New. In English.

Lingua: Inglese
Editore: Springer, 2012
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Da: Books Puddle, Woodside, NY, U.S.A.Books Puddle
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Condizione: New. pp. 138.

Lingua: Inglese
Editore: Springer Verlag, 2012
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Da: Revaluation Books, Exeter, Regno UnitoRevaluation Books
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Paperback. Condizione: Brand New. 2013 edition. 136 pages. 9.25x0.32x6.10 inches. In Stock.

Lingua: Inglese
Editore: Springer, 2012
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Da: AHA-BUCH GmbH, Einbeck, GermaniaAHA-BUCH GmbH
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Taschenbuch. Condizione: Neu. Druck auf Anfrage Neuware - Printed after ordering - 'Emotion Recognition Using Speech Features' provides coverage of emotion-specific features present in speech. The author also discusses 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.In this Brief, 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 exploiting multiple evidences derived from various features and models. The acquired emotion-specific knowledge is useful for synthesizing emotions. Features includes discussion of:- Global and local prosodic features at syllable, word and phrase levels, helpful for capturing emotion-discriminative information;- Exploiting complementary evidences obtained from excitation sources, vocal tract systems and prosodic features in order to enhance the emotion recognition performance;- Proposed multi-stage and hybrid models for improving the emotion recognition performance.This brief is for researchers working in areas related to speech-based products such as mobile phone manufacturing companies, automobile companies, and entertainment products as well as researchers involved in basic and applied speech processing research.…
Altre immaginiLingua: Inglese
Editore: Humana, 2012
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Da: preigu, Osnabrück, Germaniapreigu
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Taschenbuch. Condizione: Neu. Emotion Recognition using Speech Features | K. Sreenivasa Rao (u. a.) | Taschenbuch | SpringerBriefs in Speech Technology | xii | Englisch | 2012 | Humana | EAN 9781461451426 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu. …

Lingua: Inglese
Editore: Springer, 2012
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Da: Brook Bookstore On Demand, Napoli, NA, ItaliaBrook Bookstore On Demand
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Condizione: new. Questo è un articolo print on demand.

Lingua: Inglese
Editore: Springer New York Nov 2012, 2012
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Da: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, GermaniaBuchWeltWeit Ludwig Meier e.K.
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Taschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -'Emotion Recognition Using Speech Features' provides coverage of emotion-specific features present in speech. The author also discusses 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.In this Brief, 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 exploiting multiple evidences derived from various features and models. The acquired emotion-specific knowledge is useful for synthesizing emotions. Features includes discussion of:- Global and local prosodic features at syllable, word and phrase levels, helpful for capturing emotion-discriminative information;- Exploiting complementary evidences obtained from excitation sources, vocal tract systems and prosodic features in order to enhance the emotion recognition performance;- Proposed multi-stage and hybrid models for improving the emotion recognition performance.This brief is for researchers working in areas related to speech-based products such as mobile phone manufacturing companies, automobile companies, and entertainment products as well as researchers involved in basic and applied speech processing research. 136 pp. Englisch.…

Lingua: Inglese
Editore: Springer, 2012
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- Print on Demand
Da: Majestic Books, Hounslow, Regno UnitoMajestic Books
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Condizione: New. Print on Demand pp. 138 30 Illus. (6 Col.).

Lingua: Inglese
Editore: Springer, 2012
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Da: Biblios, frankfurt am main, HESSE, GermaniaBiblios
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Condizione: New. PRINT ON DEMAND pp. 138.

Lingua: Inglese
Editore: Springer New York, 2012
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Da: moluna, Greven, Germaniamoluna
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Kartoniert / Broschiert. Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Discusses complete state-of -art features, models and databases in the context of emotion recognition Explores implicit and explicit excitation source features for discriminating the emotions Proposes pitch synchronous and sub-syllabic spect.…

Lingua: Inglese
Editore: Springer, Humana Nov 2012, 2012
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Da: buchversandmimpf2000, Emtmannsberg, BAYE, Germaniabuchversandmimpf2000
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Taschenbuch. Condizione: Neu. This item is printed on demand - Print on Demand Titel. Neuware -¿Emotion Recognition Using Speech Features¿ provides coverage of emotion-specific features present in speech. The author also discusses 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.In this Brief, 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 exploiting multiple evidences derived from various features and models. The acquired emotion-specific knowledge is useful for synthesizing emotions. Features includes discussion of:¿ Global and local prosodic features at syllable, word and phrase levels, helpful for capturing emotion-discriminative information;¿ Exploiting complementary evidences obtained from excitation sources, vocal tract systems and prosodic features in order to enhance the emotion recognition performance;¿ Proposed multi-stage and hybrid models for improving the emotion recognition performance.This brief is for researchers working in areas related to speech-based products such as mobile phone manufacturing companies, automobile companies, and entertainment products as well as researchers involved in basic and applied speech processing research.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 136 pp. Englisch.…