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Extraction of Prosody for Automatic Speaker, Language, Emotion and Speech Recognition de Leena Mary

Extraction of Prosody for Automatic Speaker, Language, Emotion and Speech Recognition: SpringerBriefs in Speech Technology

Autor Leena Mary
en Limba Engleză Paperback – 11 aug 2018
This updated book expands upon prosody for recognition applications of speech processing. It includes importance of prosody for speech processing applications; builds on why prosody needs to be incorporated in speech processing applications; and presents  methods for extraction and representation of prosody for applications such as  speaker recognition, language recognition and speech recognition. The updated book also includes information on the significance of prosody for emotion recognition and various prosody-based approaches for automatic emotion recognition from speech.

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Specificații

ISBN-13: 9783319911700
ISBN-10: 3319911708
Pagini: 92
Ilustrații: X, 62 p. 28 illus., 8 illus. in color.
Dimensiuni: 155 x 235 mm
Greutate: 0.12 kg
Ediția:2nd ed. 2019
Editura: Springer International Publishing
Colecția Springer
Seria SpringerBriefs in Speech Technology

Locul publicării:Cham, Switzerland

Cuprins

Introduction.- Significance of Prosody for Speaker, Language, Emotion and Speech Recognition.- Automatic Extraction of Prosody for Speaker, Language, Emotion and Speech Recognition.- Modeling and Fusion of Prosody for Speaker, Language, Emotion and Speech Recognition.- Conclusion.

Notă biografică

Dr. Leena Mary is with Department of Technical Education, Government of Kerala, India. Currently she works as  a Professor at Department of Electronics and Communication Engineering, Government Engineering College Idukki. Her Research interests include speech processing, image processing  and machine learning.  She is the author of Extraction and Representation of Prosody for Speaker, Speech and Language Recognition (Springer 2012).

Caracteristici

Fully updated coverage of prosody from the speech processing perspective Features new applications for prosody for speech processing and how to incorporate them Provides newly discovered techniques for modeling and fusion of prosody for speaker, language, emotion and speech recognition