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This book presents state of art research in speech emotion recognition. Readers are first presented with basic research and applications - gradually more advance information is provided, … Más…
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2015, ISBN: 9783319155302
This book presents state of art research in speech emotion recognition. Readers are first presented with basic research and applications gradually more advance information is provided, gi… Más…
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ISBN: 9783319155302
This book presents state of art research in speech emotion recognition. Readers are first presented with basic research and applications â?? gradually more advance information is provided… Más…
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2003, ISBN: 9783319155302
This book presents state of art research in speech emotion recognition. Readers are first presented with basic research and applications - gradually more advance information is provided, … Más…
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ISBN: 9783319155302
Engineering; Signal, Image and Speech Processing; Computational Linguistics; User Interfaces and Human Computer Interaction; Acoustics Classifying Emotions in Speech, Emotion Recognition … Más…
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3, ISBN: 9783319155302
This book presents state of art research in speech emotion recognition. Readers are first presented with basic research and applications - gradually more advance information is provided, … Más…
Koteswara Rao Anne#Swarna Kuchibhotla#Hima Deepthi Vankayalapati:
Acoustic Modeling for Emotion Recognition - libro nuevo2015, ISBN: 9783319155302
This book presents state of art research in speech emotion recognition. Readers are first presented with basic research and applications gradually more advance information is provided, gi… Más…
ISBN: 9783319155302
This book presents state of art research in speech emotion recognition. Readers are first presented with basic research and applications â?? gradually more advance information is provided… Más…
2003, ISBN: 9783319155302
This book presents state of art research in speech emotion recognition. Readers are first presented with basic research and applications - gradually more advance information is provided, … Más…
ISBN: 9783319155302
Engineering; Signal, Image and Speech Processing; Computational Linguistics; User Interfaces and Human Computer Interaction; Acoustics Classifying Emotions in Speech, Emotion Recognition … Más…
Datos bibliográficos del mejor libro coincidente
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Detalles del libro - Acoustic Modeling for Emotion Recognition
EAN (ISBN-13): 9783319155302
Año de publicación: 3
Editorial: Springer-Verlag Gmbh
Libro en la base de datos desde 2015-07-24T13:07:50+02:00 (Madrid)
Página de detalles modificada por última vez el 2021-05-09T16:34:25+02:00 (Madrid)
ISBN/EAN: 9783319155302
ISBN - escritura alterna:
978-3-319-15530-2
Mode alterno de escritura y términos de búsqueda relacionados:
Autor del libro: anne, kuch, rao
Título del libro: hima, emotion
Datos del la editorial
Autor: Koteswara Rao Anne; Swarna Kuchibhotla; Hima Deepthi Vankayalapati
Título: SpringerBriefs in Speech Technology; Acoustic Modeling for Emotion Recognition
Editorial: Springer; Springer International Publishing
66 Páginas
Año de publicación: 2015-03-14
Cham; CH
Idioma: Inglés
53,49 € (DE)
55,00 € (AT)
59,00 CHF (CH)
Available
VII, 66 p. 24 illus., 17 illus. in color.
EA; E107; eBook; Nonbooks, PBS / Technik/Elektronik, Elektrotechnik, Nachrichtentechnik; Elektronik; Verstehen; Classifying Emotions in Speech; Emotion Recognition in Speech; Feature Fusion Techniques; K-Nearest neighbor; Linear Discriminant Analysis; Receiver Operating Characteristic; Regularized Discriminant Analysis; Speech Signal Processing; Support Vector Machines; B; Signal, Speech and Image Processing; Computational Linguistics; User Interfaces and Human Computer Interaction; Acoustics; Engineering; Digitale Signalverarbeitung (DSP); Computerlinguistik und Korpuslinguistik; Mensch-Computer-Interaktion; Wellenmechanik (Vibration und Akustik); BC
Introduction.- Emotion Recognition using Prosodic features.- Emotion Recognition using Spectral features.- Emotional Speech Corpora.- Classification Models.- Comparative Analysis of Classifiers in emotion recognition.- Summary and Conclusions.Provides comprehensive research and application on classification of emotions through speech Features extensive comparative study of classifiers, presenting results in different databases Compares feature fusion techniques with emotions of individual features Includes supplementary material: sn.pub/extras
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