Abstract
This paper presents a brief survey on Pattern matching for speaker verification. Pattern matching performed for Speaker Verification (SV), is the process of verifying the claimed identity of a registered speaker by using their voice characteristics and further subdivided into text-dependent and text-independent. Paper outlines various models performance levels and the work undertaken by the researchers. It has been viewed over as, among these models GMM comparatively performs better and this paper is beneficial for researchers to proceed over in their work.
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Dhonde, S.B., Jagade, S.M. (2015). Pattern-Matching for Speaker Verification: A Review. In: Satapathy, S., Biswal, B., Udgata, S., Mandal, J. (eds) Proceedings of the 3rd International Conference on Frontiers of Intelligent Computing: Theory and Applications (FICTA) 2014. Advances in Intelligent Systems and Computing, vol 327. Springer, Cham. https://doi.org/10.1007/978-3-319-11933-5_3
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DOI: https://doi.org/10.1007/978-3-319-11933-5_3
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-11932-8
Online ISBN: 978-3-319-11933-5
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