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

  • Book
  • © 2019

Overview

  • 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

Part of the book series: SpringerBriefs in Speech Technology (BRIEFSSPEECHTECH)

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Table of contents (3 chapters)

Keywords

About this book

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.

Authors and Affiliations

  • Department of Electronics and Communication Engineering, Government Engineering College Idukki, Idukki, India

    Leena Mary

About the author

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).

Bibliographic Information

  • Book Title: Extraction of Prosody for Automatic Speaker, Language, Emotion and Speech Recognition

  • Authors: Leena Mary

  • Series Title: SpringerBriefs in Speech Technology

  • DOI: https://doi.org/10.1007/978-3-319-91171-7

  • Publisher: Springer Cham

  • eBook Packages: Engineering, Engineering (R0)

  • Copyright Information: The Author(s), under exclusive licence to Springer International Publishing AG, part of Springer Nature 2019

  • Softcover ISBN: 978-3-319-91170-0Published: 11 August 2018

  • eBook ISBN: 978-3-319-91171-7Published: 02 August 2018

  • Series ISSN: 2191-737X

  • Series E-ISSN: 2191-7388

  • Edition Number: 2

  • Number of Pages: X, 62

  • Number of Illustrations: 20 b/w illustrations, 8 illustrations in colour

  • Topics: Signal, Image and Speech Processing, Computational Linguistics, Natural Language Processing (NLP)

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