Speech Emotion Recognition using Deep Neural Networks: Matlab Implementation - Couverture souple

Ahmad Qadri, Syed Asif ; Gunawan, Teddy Surya ; Kartiwi, Mira

9786203465341: Speech Emotion Recognition using Deep Neural Networks: Matlab Implementation

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ISBN 10 : 6203465348 ISBN 13 : 9786203465341

Editeur : LAP LAMBERT Academic Publishing, 2021

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�diteur: LAP LAMBERT Academic Publishing
Date d'�dition: 2021
Langue: anglais
ISBN 10: 6203465348
ISBN 13: 9786203465341
Reliure: Broch�
Nombre de pages: 120
Coordonn�es du fabricant: non disponible
Personne responsable: KreGa Onlinehandel GmbH
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Speech Emotion Recognition using Deep Neural Networks

Syed Asif Ahmad Qadri|Teddy Surya Gunawan|Mira Kartiwi

Edit� par LAP LAMBERT Academic Publishing, 2021

ISBN 10 : 6203465348 ISBN 13 : 9786203465341

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Etat : New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Ahmad Qadri Syed AsifSyed Asif Ahmad Qadri obtained his MSc degree from IIUM in 2020. Teddy Surya Gunawan received his PhD degree from UNSW in 2007 and is currently Professor at KOE, IIUM.Mira Kartiwi obtained her PhD from UOW in 200. N� de r�f. du vendeur 491819682

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Speech Emotion Recognition using Deep Neural Networks : Matlab Implementation

Syed Asif Ahmad Qadri

Edit� par LAP LAMBERT Academic Publishing, 2021

ISBN 10 : 6203465348 ISBN 13 : 9786203465341

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Taschenbuch. Etat : Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - The key issues pivotal for successful Speech Emotion Recognition (SER) system are driven by a selection of proper emotional feature extraction techniques. In this book, Mel-frequency Cepstral Coefficient (MFCC) and Teager Energy Operator (TEO) along with a fusion of MFCC and TEO is examined over multilingual database consisting of English, German and Hindi languages. Deep Neural Networks (DNN) has been used for the classification of the different emotions considered, including happy, sad, angry, and neutral. Sample of Matlab code implementation is provided in this book. The proposed system could be implemented especially in the customer service application, in which TEO based features and DNN could be used to better handle customer during a conversation. N� de r�f. du vendeur 9786203465341

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Speech Emotion Recognition using Deep Neural Networks

Syed Asif Ahmad Qadri

Edit� par LAP LAMBERT Academic Publishing M�r 2021, 2021

ISBN 10 : 6203465348 ISBN 13 : 9786203465341

Neuf Taschenbuch

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Vendeur : buchversandmimpf2000, Emtmannsberg, BAYE, Allemagne

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Taschenbuch. Etat : Neu. This item is printed on demand - Print on Demand Titel. Neuware -The key issues pivotal for successful Speech Emotion Recognition (SER) system are driven by a selection of proper emotional feature extraction techniques. In this book, Mel-frequency Cepstral Coefficient (MFCC) and Teager Energy Operator (TEO) along with a fusion of MFCC and TEO is examined over multilingual database consisting of English, German and Hindi languages. Deep Neural Networks (DNN) has been used for the classification of the different emotions considered, including happy, sad, angry, and neutral. Sample of Matlab code implementation is provided in this book. The proposed system could be implemented especially in the customer service application, in which TEO based features and DNN could be used to better handle customer during a conversation.VDM Verlag, Dudweiler Landstra�e 99, 66123 Saarbr�cken 120 pp. Englisch. N� de r�f. du vendeur 9786203465341

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