KUET Institutional Repository

Analysis of Dynamic Filtering Properties for Vocal-Tract during Bangla Vowel and Vowel-Consonant-Vowel Sequence Production

Show simple item record

dc.contributor.advisor Hasan, Dr. Md. Mahbub
dc.contributor.author Mitra, Sathi Rani
dc.date.accessioned 2018-08-11T08:09:16Z
dc.date.available 2018-08-11T08:09:16Z
dc.date.copyright 2016
dc.date.issued 2016-12
dc.identifier.other ID 0000000
dc.identifier.uri http://hdl.handle.net/20.500.12228/318
dc.description This thesis is submitted to the Department of Electrical and Electronic Engineering, Khulna University of Engineering & Technology in partial fulfillment of the requirements for the degree of Master of Science in Electrical and Electronic Engineering, December, 2016. en_US
dc.description Cataloged from PDF Version of Thesis.
dc.description Includes bibliographical references (pages 51-53).
dc.description.abstract This thesis deals with the acoustic analysis of dynamic filtering properties for vocal-tract and the perceptional space of Bangla vowel. Here we capture Bangla vowel, vowel-consonant-vowel speech signal from native Bangla Speakers. Acoustic study of dynamic-shape of vocal-tract for Bangla vowels and vowel-consonant-vowel (VCV) sequences are carried out based on dispersion and cross-correlation of linear predictive coding (LPC) filtering coefficients and short-time Fourier transform (STFT) of formant trajectory. The standard deviation of LPC filtering coefficients and transitional energy of formant trajectories indicate the dynamics of vocal-tract. The consonantal-constriction in VCV sequence accelerates the vocal-tract transitional nature and the transitional nature yields lower-valued cross-correlation with more stable vowels. Fourier transform technique is utilized to determine the cross-correlation of two unequal length LPC trajectories. In the domain of vowel perception, speaker invariant principal components are determined from the multidimensional perceptual space for comparatively stable Bangla vowels. Linguistic content base multidimensional vector space can be formed using the formant frequencies and its dispersion related statistical moments and the well reorganization-able vowels may maintain a separable distance in the multidimensional space. In this work, perceptual vectors and their associated energies are evaluated by determining the principal components of the multidimensional space. Speaker invariance is numerically evaluated using the correlation with principal components of native Bangla speakers. In this research, an algorithm is also proposed for the determination of energy based on the redundancies of the canonical variates for the inter-speaker vowel consistency. en_US
dc.description.statementofresponsibility Sathi Rani Mitra
dc.format.extent 54 pages
dc.language.iso en_US en_US
dc.publisher Khulna University of Engineering & Technology (KUET), Khulna, Bangladesh. en_US
dc.rights Khulna University of Engineering & Technology (KUET) thesis/ dissertation/internship reports are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission.
dc.subject Dynamic Filtering Properties en_US
dc.subject Vocal-Tract en_US
dc.subject Bangla Vowel en_US
dc.subject Vowel en_US
dc.subject Vowel-consonant-vowel en_US
dc.title Analysis of Dynamic Filtering Properties for Vocal-Tract during Bangla Vowel and Vowel-Consonant-Vowel Sequence Production en_US
dc.type Thesis en_US
dc.description.degree Master of Science in Electrical and Electronic Engineering
dc.contributor.department Department of Electrical and Electronic Engineering

Files in this item

This item appears in the following Collection(s)

Show simple item record

Search KUET IR


My Account