© 2019

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


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

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.


Electronic speech processing Language recognition Prosody in speech Speech processing Speech processing applications Speech synthesis

Authors and affiliations

  1. 1.Department of Electronics and Communication EngineeringGovernment Engineering College IdukkiIdukkiIndia

About the authors

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
  • Series Abbreviated Title SpringerBriefs Speech Tech.
  • DOI
  • Copyright Information The Author(s), under exclusive licence to Springer International Publishing AG, part of Springer Nature 2019
  • Publisher Name Springer, Cham
  • eBook Packages Engineering Engineering (R0)
  • Softcover ISBN 978-3-319-91170-0
  • eBook ISBN 978-3-319-91171-7
  • 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)
  • Buy this book on publisher's site
Industry Sectors
IT & Software
Oil, Gas & Geosciences