Dialect Accent Features for Establishing Speaker Identity: A Case Study: SpringerBriefs in Speech Technology
Autor Manisha Kulshreshtha, Ramkumar Mathuren Limba Engleză Paperback – 13 apr 2014
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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Specificații
ISBN-13: 9781489999399
ISBN-10: 1489999396
Pagini: 72
Ilustrații: XII, 60 p.
Dimensiuni: 155 x 235 x 4 mm
Greutate: 0.12 kg
Ediția:2012
Editura: Springer
Colecția Springer
Seria SpringerBriefs in Speech Technology
Locul publicării:New York, NY, United States
ISBN-10: 1489999396
Pagini: 72
Ilustrații: XII, 60 p.
Dimensiuni: 155 x 235 x 4 mm
Greutate: 0.12 kg
Ediția:2012
Editura: Springer
Colecția Springer
Seria SpringerBriefs in Speech Technology
Locul publicării:New York, NY, United States
Public țintă
ResearchCuprins
1. Introduction.- 2. Hindi Language and Its Dialects.- 3. Speech Materials and Instrumentation.- 4. Analysis and Results.- 5. Conclusion.
Textul de pe ultima copertă
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.
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.
Caracteristici
Combines basic conceptual theory, case studies and Hindi Phonology Covers the basic concept of accent features in which there are very few published case studies of empirical work Contains several figures and tables to help readers understand the science of accent features extraction