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Adaptive Speech Analysis Techniques for Biometrics Applications

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thesis
posted on 24.05.2021, 14:58 by Tanweer Mozaffar
Using biometrics for personal identity authentication is becoming more reliable and accurate than current methods because it links the event to a particular individual (e.g. a password may be used by someone other that the authorized user), is convenient (nothing to carry or remember), accurate (provides positive authentication) and is socially acceptable. Adaptive frequency sub-band or time frame recombination approaches are introduced in this thesis.

History

Language

eng

Degree

Master of Engineering

Program

Electrical and Computer Engineering

Granting Institution

Ryerson University

LAC Thesis Type

Thesis

Thesis Advisor

Sridhar Krishnan