Library of American University of Madaba
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Kulshreshtha, Manisha.
Dialect Accent Features for Establishing Speaker Identity A Case Study / [electronic resource] : by Manisha Kulshreshtha, Ramkumar Mathur. - XII, 60p. 19 illus. online resource. - SpringerBriefs in Electrical and Computer Engineering, 2191-8112 .
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.
9781461411383
Engineering.
Translators (Computer programs).
Optical pattern recognition.
Engineering.
Signal, Image and Speech Processing.
Language Translation and Linguistics.
Pattern Recognition.
621.382
Dialect Accent Features for Establishing Speaker Identity A Case Study / [electronic resource] : by Manisha Kulshreshtha, Ramkumar Mathur. - XII, 60p. 19 illus. online resource. - SpringerBriefs in Electrical and Computer Engineering, 2191-8112 .
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.
9781461411383
Engineering.
Translators (Computer programs).
Optical pattern recognition.
Engineering.
Signal, Image and Speech Processing.
Language Translation and Linguistics.
Pattern Recognition.
621.382