Title page for ETD etd-08172001-164442

Type of Document

Dissertation

Author

Berg, Brian LaRoy

URN

etd-08172001-164442

Title

Investigating Speaker Features From Very Short Speech Records

Degree

PhD

Department

Electrical and Computer Engineering

Advisory Committee

Advisor Name	Title
Beex, A. A. Louis	Committee Chair
Ball, Joseph A.	Committee Member
Jacobs, Ira	Committee Member
Reed, Jeffrey Hugh	Committee Member
VanLandingham, Hugh F.	Committee Member

Keywords

Speaker Recognition
Speech Synthesis
Speech Analysis
Digital Signal Processing
Speaker Identity Verification
Speech Processing

Date of Defense

2001-07-23

Availability

unrestricted

Abstract

A procedure is presented that is capable of extracting various speaker features, and is of particular value for analyzing records containing single words and shorter segments of speech.
By taking advantage of the fast convergence properties of adaptive filtering, the approach is capable of modeling the nonstationarities due to both the vocal tract and vocal cord dynamics.

Specifically, the procedure extracts the vocal tract estimate from within the closed glottis interval and uses it to obtain a time-domain glottal signal. This procedure is quite simple, requires minimal manual intervention (in cases of inadequate pitch detection), and is particularly unique because it derives both the vocal tract and
glottal signal estimates directly from the time-varying filter coefficients rather than from the prediction error signal. Using this procedure, several glottal signals are derived from human and synthesized speech and are analyzed to demonstrate the glottal waveform modeling performance and kind of glottal characteristics obtained therewith. Finally, the procedure is evaluated using automatic speaker
identity verification.

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