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© 2012

Dialect Accent Features for Establishing Speaker Identity

A Case Study

Book

Part of the SpringerBriefs in Electrical and Computer Engineering book series

Also part of the SpringerBriefs in Speech Technology book sub series (BRIEFSSPEECHTECH)

Table of contents

  1. Front Matter
    Pages i-xii
  2. Manisha Kulshreshtha, Ramkumar Mathur
    Pages 1-14
  3. Manisha Kulshreshtha, Ramkumar Mathur
    Pages 15-20
  4. Manisha Kulshreshtha, Ramkumar Mathur
    Pages 21-26
  5. Manisha Kulshreshtha, Ramkumar Mathur
    Pages 27-50
  6. Manisha Kulshreshtha, Ramkumar Mathur
    Pages 51-53
  7. Back Matter
    Pages 55-60

About this book

Introduction

Dialect Accent Features for Establishing Speaker Identity: A Case Study discusses the subject of forensic voice identification and speaker profiling. Specifically focusing on speaker profiling and using dialects of the Hindi language, widely used in India, the authors have contributed to the body of research on speaker identification by using accent feature as the discriminating factor.

This case study contributes to the understanding of the speaker identification process in a situation where unknown speech samples are in different language/dialect than the recording of a suspect. The authors' data establishes that vowel quality, quantity, intonation and tone of a speaker as compared to Khariboli (standard Hindi) could be the potential features for identification of dialect accent.

Keywords

Accent features Dialect features Hindi dialect Speaker profiling Speaker verification using dialect Voice identification

Authors and affiliations

  1. 1.Yale UniversityHaskins LaboratoriesBronxUSA
  2. 2., Dept. of Microbiology and ImmunologyColumbia University Medical CenterNew YorkUSA

Bibliographic information

  • Book Title Dialect Accent Features for Establishing Speaker Identity
  • Book Subtitle A Case Study
  • Authors Manisha Kulshreshtha
    Ramkumar Mathur
  • Series Title SpringerBriefs in Electrical and Computer Engineering
  • DOI https://doi.org/10.1007/978-1-4614-1138-3
  • Copyright Information Manisha Kulshreshtha 2012
  • Publisher Name Springer, Boston, MA
  • eBook Packages Engineering Engineering (R0)
  • Hardcover ISBN 978-1-4614-1137-6
  • Softcover ISBN 978-1-4899-9939-9
  • eBook ISBN 978-1-4614-1138-3
  • Series ISSN 2191-8112
  • Series E-ISSN 2191-8120
  • Edition Number 1
  • Number of Pages XII, 60
  • Number of Illustrations 0 b/w illustrations, 0 illustrations in colour
  • Topics Signal, Image and Speech Processing
    Natural Language Processing (NLP)
    Pattern Recognition
  • Buy this book on publisher's site
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