Isbn: 9783847377603 - emotion recognition from speech: using in-depth analysis of glottal and prosodic features, various classifiers, speech corpora and noise conditions (6 risultati)

Taschenbuch. Condizione: Neu. Emotion Recognition From Speech | Using In-Depth Analysis Of Glottal And Prosodic Features, Various Classifiers, Speech Corpora And Noise Conditions | Alexander I. Iliev | Taschenbuch | 168 S. | Englisch | 2012 | LAP LAMBERT Academic Publishing | EAN 9783847377603 | Verantwortliche Person für die EU: BoD - Books on Demand, In de Tarpen 42, 22848 Norderstedt, info[at]bod[dot]de | Anbieter: preigu.…

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Taschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Emotion recognition from speech has received considerable attention in recent years. Fields like homeland security, remote monitoring of patients, improved communication for people with disabilities, and even closed captioning can greatly benefit from advances in the area. This book reveals some of the leading techniques in spoken emotion recognition and provides an in-depth analysis and comparison of key methodologies in the field. The reader is first introduced to some of the most important aspects of spoken emotion recognition. The author then reveals new feature domains, novel recognition methods and various feature extraction techniques all tested across different speech corpora. This work also reveals new emotion classification techniques and compares their recognition performance to some classical emotion recognition methods. In addition, all methods are tested in different real-world noisy conditions to compare their robustness. This is part of an effort to bring the scientific advancement in the field closer to the real-world product environment. In these terms this book constitutes a significant advancement in the area of emotion recognition from speech. 168 pp. Englisch. …

Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: I. Iliev AlexanderAlexander I. Iliev earned a Ph.D. in Electrical and Computer Engineering and an M.S. in Music Engineering Technology from the University of Miami. He also earned an M.S. in Electrical Engineering from St. Ivan Rilsk.…

Taschenbuch. Condizione: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Emotion recognition from speech has received considerable attention in recent years. Fields like homeland security, remote monitoring of patients, improved communication for people with disabilities, and even closed captioning can greatly benefit from advances in the area. This book reveals some of the leading techniques in spoken emotion recognition and provides an in-depth analysis and comparison of key methodologies in the field. The reader is first introduced to some of the most important aspects of spoken emotion recognition. The author then reveals new feature domains, novel recognition methods and various feature extraction techniques all tested across different speech corpora. This work also reveals new emotion classification techniques and compares their recognition performance to some classical emotion recognition methods. In addition, all methods are tested in different real-world noisy conditions to compare their robustness. This is part of an effort to bring the scientific advancement in the field closer to the real-world product environment. In these terms this book constitutes a significant advancement in the area of emotion recognition from speech.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 168 pp. Englisch.…

Taschenbuch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Emotion recognition from speech has received considerable attention in recent years. Fields like homeland security, remote monitoring of patients, improved communication for people with disabilities, and even closed captioning can greatly benefit from advances in the area. This book reveals some of the leading techniques in spoken emotion recognition and provides an in-depth analysis and comparison of key methodologies in the field. The reader is first introduced to some of the most important aspects of spoken emotion recognition. The author then reveals new feature domains, novel recognition methods and various feature extraction techniques all tested across different speech corpora. This work also reveals new emotion classification techniques and compares their recognition performance to some classical emotion recognition methods. In addition, all methods are tested in different real-world noisy conditions to compare their robustness. This is part of an effort to bring the scientific advancement in the field closer to the real-world product environment. In these terms this book constitutes a significant advancement in the area of emotion recognition from speech.…