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2012 | Buch

Introduction Kapitel lesen Erstes Kapitel lesen

Dialect Accent Features for Establishing Speaker Identity

A Case Study

verfasst von: Manisha Kulshreshtha, Ramkumar Mathur

Verlag: Springer US

Buchreihe : SpringerBriefs in Electrical and Computer Engineering

Enthalten in: Springer Professional "Wirtschaft+Technik" , Springer Professional "Technik" , Springer Professional "Wirtschaft"

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Über dieses Buch

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.

Inhaltsverzeichnis

Frontmatter
Chapter 1. Introduction
Abstract
An important characteristic of speaker profiling is the dialectal accent feature which could ultimately establish the speaker’s identity through his dialect. This feature also depends on educational background, mother tongue of the person, and the regional language. In fact, nonnative language is always influenced by the native language. Extracting information like sex, age, dialect background, and regional info underlies in the category of speaker profiling. Here, in this case study, Hindi, which is the official language of India, is chosen because of its various popular dialects. Khariboli, which is one of the chosen dialects, is considered as base language for comparison purposes because of its close approximation to standard Hindi. Moreover, it is the dialect that forms the basis of the modern standard Hindi.
Manisha Kulshreshtha, Ramkumar Mathur
Chapter 2. Hindi Language and Its Dialects
Abstract
In Chap. 1, we discussed the basics of voice identification process, which is very useful to forensic expert, in order to correctly identify the speaker. In this study, we are trying to establish the identity of a person on the basis of his/her dialectal accent. Therefore, it is recommended to have a basic knowledge of the native language and its dialects.
Manisha Kulshreshtha, Ramkumar Mathur
Chapter 3. Speech Materials and Instrumentation
Abstract
To a certain extent recording of speech samples and analysis of exemplars depends on the quality and contents of the material prepared for experiments. Therefore, preparing speech materials seems an important part of the research methodology. For this particular case study, various texts have been prepared in Standard Hindi using devnagri script, including the words or phrases commonly found in telephonic interception of criminal acts. Later, these prepared texts were transliterated into each dialect chosen for the study considering the accent as well as the uses.
Manisha Kulshreshtha, Ramkumar Mathur
Chapter 4. Analysis and Results
Abstract
Speech of person is characterized using some phonetic features like stylistic impression, phonation, nasality, dynamic of loudness, and flow of speech. Based on these features, the linguistic characteristics of a person in specimen are compared with that of the person in questioned. A conventional method, combined aural and spectrographic method, is used for analysis of speech exemplars. Although analysis is performed equally on all the speech exemplars of all chosen regional dialects, due to limited space, Khariboli and Bhojpuri dialects are selected to discuss the results in this chapter. Bhojpuri dialect is selected randomly, whereas Khariboli is considered as a base language in this study. A prosodic analysis is also performed in order to study the intonation tonal pattern of the dialects. This chapter will go through the details of each method used and the results obtained through it.
Manisha Kulshreshtha, Ramkumar Mathur
Chapter 5. Conclusion
Abstract
This case study contributes to understand the speaker identification process, in a situation, where the unknown speech sample is in different language/dialect from the recording of suspect. Hindi, being the most spoken language in India, is selected for the study and its seven popular dialects are chosen including Khariboli as the base language. Speech samples of 20 male and 20 females from each regional dialect are recorded and analyzed to obtain the distinctive features. These features, when combined together, are found useful in the area of forensic voice identification.
Manisha Kulshreshtha, Ramkumar Mathur
Backmatter
Metadaten
Titel
Dialect Accent Features for Establishing Speaker Identity
verfasst von
Manisha Kulshreshtha
Ramkumar Mathur
Copyright-Jahr
2012
Verlag
Springer US
Electronic ISBN
978-1-4614-1138-3
Print ISBN
978-1-4614-1137-6
DOI
https://doi.org/10.1007/978-1-4614-1138-3

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