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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