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

Por:

Kulshreshtha, Manisha [autor]

Colaborador(es):

Tipo de material: Texto

TextoSeries SpringerBriefs in Electrical and Computer EngineeringEditor: Boston, MA : Springer US, 2012Descripción: xii, 60 páginas 19 ilustraciones recurso en líneaTipo de contenido:

texto

Tipo de medio:

computadora

Tipo de portador:

recurso en línea

ISBN:

9781461411383

Formatos físicos adicionales: Edición impresa:: Sin títuloClasificación LoC:

TK5102.9

Recursos en línea:

Conectar a Springer E-Books (Para consulta externa se requiere previa autentificación en Biblioteca Digital UANL)

Contenidos:

1. Introduction -- 2. Hindi Language and Its Dialects -- 3. Speech Materials and Instrumentation -- 4. Analysis and Results -- 5. Conclusion.

Resumen: 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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Springer eBooks

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 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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