Dialect Accent Features for Establishing Speaker Identity: A Case Study

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...

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Detalles Bibliográficos
Autores principales: Kulshreshtha, Manisha, Mathur, Ramkumar
Lenguaje:eng
Publicado: Springer 2012
Materias:
Engineering
Acceso en línea:https://dx.doi.org/10.1007/978-1-4614-1138-3
http://cds.cern.ch/record/1503731
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author Kulshreshtha, Manisha
Mathur, Ramkumar
author_facet Kulshreshtha, Manisha
Mathur, Ramkumar
author_sort Kulshreshtha, Manisha
collection CERN
description 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.
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institution Organización Europea para la Investigación Nuclear
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publishDate 2012
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spelling cern-15037312021-04-21T23:53:48Zdoi:10.1007/978-1-4614-1138-3http://cds.cern.ch/record/1503731engKulshreshtha, ManishaMathur, RamkumarDialect Accent Features for Establishing Speaker Identity: A Case StudyEngineeringDialect 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.Springeroai:cds.cern.ch:15037312012
spellingShingle Engineering
Kulshreshtha, Manisha
Mathur, Ramkumar
Dialect Accent Features for Establishing Speaker Identity: A Case Study
title Dialect Accent Features for Establishing Speaker Identity: A Case Study
title_full Dialect Accent Features for Establishing Speaker Identity: A Case Study
title_fullStr Dialect Accent Features for Establishing Speaker Identity: A Case Study
title_full_unstemmed Dialect Accent Features for Establishing Speaker Identity: A Case Study
title_short Dialect Accent Features for Establishing Speaker Identity: A Case Study
title_sort dialect accent features for establishing speaker identity: a case study
topic Engineering
url https://dx.doi.org/10.1007/978-1-4614-1138-3
http://cds.cern.ch/record/1503731
work_keys_str_mv AT kulshreshthamanisha dialectaccentfeaturesforestablishingspeakeridentityacasestudy
AT mathurramkumar dialectaccentfeaturesforestablishingspeakeridentityacasestudy

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