Efficient human voice recongnition system

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dc.contributor.authorSherdil, Habba Aabroo
dc.contributor.authorRafique, Hafsa
dc.contributor.authorAlam, Muhammad Tajdar
dc.contributor.authorSabir, Hafiz Muhammad Aun
dc.date.accessioned2017-10-31T04:19:30Z
dc.date.available2017-10-31T04:19:30Z
dc.date.issued2016
dc.descriptionSupervised by:Muhammad Asim Butten_US
dc.description.abstractThe usefulness of identification of a person from the uniqueness of his/her voice is increasing with growing importance of automatic information processing. This report reviews the voice characteristics and voice identification techniques which are used in recognizing people by their voices. Voice is a random signal with continuous acoustic variability’s hence a proper digital processing algorithm has been selected for voice recognition system to extract required information from the voice sample. Voice features are the tool on the basis of which voice recognition can be done. In this report, the implementation of VRS (Voice Recognition System) is done using MATLAB. MFCC (Mel frequency cepstral coefficients) and DTW (Dynamic Time Warping) are two algorithms which are adopted for voice feature extraction and matching. These techniques make it possible to use human voice to recognize the identity of a person and after verification enable the control access to database services, security control for confidential information areas, providing voice recognition ability in robots.en_US
dc.identifier.urihttps://escholar.umt.edu.pk/handle/123456789/2174
dc.language.isoenen_US
dc.publisherUniversity of Management and Technology Lahoreen_US
dc.subjectProcessing algorithmen_US
dc.subjectMel frequency cepstral coefficientsen_US
dc.subjectBS THESISen_US
dc.titleEfficient human voice recongnition systemen_US
dc.typeThesisen_US
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