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Dialect Accent Features for Establishing Speaker Identity [electronic resource] : A Case Study / by Manisha Kulshreshtha, Ramkumar Mathur.

Por: Colaborador(es): Tipo de material: TextoTextoSeries SpringerBriefs in Electrical and Computer Engineering | SpringerBriefs in Electrical and Computer EngineeringEditor: Boston, MA : Springer US, 2012Descripción: XII, 60 p. online resourceTipo de contenido:
  • text
Tipo de medio:
  • computer
Tipo de soporte:
  • online resource
ISBN:
  • 9781461411383
Trabajos contenidos:
  • SpringerLink (Online service)
Tema(s): Formatos físicos adicionales: Sin títuloClasificación CDD:
  • 621.382 23
Clasificación LoC:
  • TK5102.9
  • TA1637-1638
  • TK7882.S65
Recursos en línea:
Contenidos:
Springer eBooksResumen: Dialect Accent Features for Establishing Speaker Identity: A Case Studydiscusses 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 ofthe 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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1. Introduction -- 2. Hindi Language and Its Dialects -- 3. Speech Materials and Instrumentation -- 4. Analysis and Results -- 5. Conclusion.

Dialect Accent Features for Establishing Speaker Identity: A Case Studydiscusses 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 ofthe 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.

ZDB-2-ENG

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