Recent Advances in Nonlinear Speech Processing / edited by Anna Esposito, Marcos Faundez-Zanuy, Antonietta M Esposito, Gennaro Cordasco, Thomas Drugman, Jordi Solé-Casals, Francesco Carlo Morabito
Contributor(s): SpringerLink (Online service)
| Esposito, Anna., editor literario
| Faundez-Zanuy, Marcos., editor literario
| Esposito, Antonietta M., editor literario
| Cordasco, Gennaro, editor literario
| Drugman, Thomas, editor literario
| Solé-Casals, Jordi., editor literario
| Morabito, Francesco Carlo., editor literario
Material type:
E-bookSeries: Smart Innovation, Systems and Technologies; 4848Publisher: Cham : Springer International Publishing, 2016Edition: 1st ed.Description: 1 recurso en línea (XIV, 294 p.) : 84 ilustraciones, 22 ilustraciones en color.ISBN: 9783319281094.Subject: Inteligencia artificial
| Item type | Current library | Collection | Call number | Copy number | Status | Date due | Barcode | Item holds | |
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LIBRO-E NO PRÉSTAMO
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Madrid Digital Acceso Electrónico (UEM) | Ciencias e Ingeniería | TK7882.S65 R434 2016 EB (Browse shelf(Opens below)) | .i11590592 | Acceso electrónico | eBOOK .i11590592 |
Nonlinear Speech Processing: An Introduction -- Features of Sound Change -- Identifying Psychological, and Neural Disorders from Speech -- Improving VUI -- Identifying New Nonlinear Coding and Decoding Features -- The Social Life of Speech Features.
This book presents recent advances in nonlinear speech processing beyond nonlinear techniques. It shows that it exploits heuristic and psychological models of human interaction in order to succeed in the implementations of socially believable VUIs and applications for human health and psychological support. The book takes into account the multifunctional role of speech and what is zoutside of the boxy (see Björn Schuller s foreword). To this aim, the book is organized in 6 sections, each collecting a small number of short chapters reporting advances zinsidey and zoutsidey themes related to nonlinear speech research. The themes emphasize theoretical and practical issues for modelling socially believable speech interfaces, ranging from efforts to capture the nature of sound changes in linguistic contexts and the timing nature of speech; labors to identify and detect speech features that help in the diagnosis of psychological and neuronal disease, attempts to improve the effectiveness and performance of Voice User Interfaces, new front-end algorithms for the coding/decoding of effective and computationally efficient acoustic and linguistic speech representations, as well as investigations capturing the social nature of speech in signaling personality traits, emotions and improving human machine interactions. .
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