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.
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© 2012 Manisha Kulshreshtha
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Kulshreshtha, M., Mathur, R. (2012). Conclusion. In: Dialect Accent Features for Establishing Speaker Identity. SpringerBriefs in Electrical and Computer Engineering(). Springer, Boston, MA. https://doi.org/10.1007/978-1-4614-1138-3_5
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DOI: https://doi.org/10.1007/978-1-4614-1138-3_5
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Publisher Name: Springer, Boston, MA
Print ISBN: 978-1-4614-1137-6
Online ISBN: 978-1-4614-1138-3
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