Dialect Accent Features for Establishing Speaker Identity

A Case Study

Nonfiction, Science & Nature, Technology, Electronics, Computers, Advanced Computing
Cover of the book Dialect Accent Features for Establishing Speaker Identity by Ramkumar Mathur, Manisha Kulshreshtha, Springer New York
View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart
Author: Ramkumar Mathur, Manisha Kulshreshtha ISBN: 9781461411383
Publisher: Springer New York Publication: March 24, 2012
Imprint: Springer Language: English
Author: Ramkumar Mathur, Manisha Kulshreshtha
ISBN: 9781461411383
Publisher: Springer New York
Publication: March 24, 2012
Imprint: Springer
Language: English

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.

View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart

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.

More books from Springer New York

Cover of the book Understanding and Using the Controller Area Network Communication Protocol by Ramkumar Mathur, Manisha Kulshreshtha
Cover of the book Primate Retina and Choroid by Ramkumar Mathur, Manisha Kulshreshtha
Cover of the book Nanotechnology for Electronics, Photonics, and Renewable Energy by Ramkumar Mathur, Manisha Kulshreshtha
Cover of the book Molecular Pathology in Cancer Research by Ramkumar Mathur, Manisha Kulshreshtha
Cover of the book Wireless Communication Electronics by Ramkumar Mathur, Manisha Kulshreshtha
Cover of the book Information Theoretic Learning by Ramkumar Mathur, Manisha Kulshreshtha
Cover of the book Nitric Oxide (NO) and Cancer by Ramkumar Mathur, Manisha Kulshreshtha
Cover of the book Handbook of Applied Developmental Science in Sub-Saharan Africa by Ramkumar Mathur, Manisha Kulshreshtha
Cover of the book Molecular Aspects of Botulinum Neurotoxin by Ramkumar Mathur, Manisha Kulshreshtha
Cover of the book Improving Aid Effectiveness in Global Health by Ramkumar Mathur, Manisha Kulshreshtha
Cover of the book Integrated Care in Psychiatry by Ramkumar Mathur, Manisha Kulshreshtha
Cover of the book Variational Analysis and Aerospace Engineering: Mathematical Challenges for Aerospace Design by Ramkumar Mathur, Manisha Kulshreshtha
Cover of the book Quo Vadis: Evolution of Modern Navigation by Ramkumar Mathur, Manisha Kulshreshtha
Cover of the book Knowledge Perspectives of New Product Development by Ramkumar Mathur, Manisha Kulshreshtha
Cover of the book Orrery by Ramkumar Mathur, Manisha Kulshreshtha
We use our own "cookies" and third party cookies to improve services and to see statistical information. By using this website, you agree to our Privacy Policy