Dialect Accent Features for Establishing Speaker Identity

A Case Study

  • Manisha Kulshreshtha
  • Ramkumar Mathur

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


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.


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

Authors and affiliations

  • Manisha Kulshreshtha
    • 1
  • Ramkumar Mathur
    • 2
  1. 1.Yale UniversityHaskins LaboratoriesBronxUSA
  2. 2., Dept. of Microbiology and ImmunologyColumbia University Medical CenterNew YorkUSA

Bibliographic information

  • DOI
  • Copyright Information Manisha Kulshreshtha 2012
  • Publisher Name Springer, Boston, MA
  • eBook Packages Engineering
  • Print ISBN 978-1-4614-1137-6
  • Online ISBN 978-1-4614-1138-3
  • Series Print ISSN 2191-8112
  • Series Online ISSN 2191-8120
  • Buy this book on publisher's site
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