Faculty Advisor or Committee Member

Reinhold Ludwig, Advisor

Faculty Advisor or Committee Member

Gene Bogdanov, Committee Member

Faculty Advisor or Committee Member

Hossein Hakim, Committee Member

Faculty Advisor or Committee Member

Donald R. Brown, Committee Member

Identifier

etd-0114104-142855

Abstract

The challenges of measuring speech signals in the presence of a strong background noise cannot be easily addressed with traditional acoustic technology. A recent solution to the problem considers combining acoustic sensor measurements with real-time, non-acoustic detection of an aspect of the speech production process. While significant advancements have been made in that area using low-power radar-based techniques, drawbacks inherent to the operation of such sensors are yet to be surmounted. Therefore, one imperative scientific objective is to devise new, non-invasive non-acoustic sensor topologies that offer improvements regarding sensitivity, robustness, and acoustic bandwidth. This project investigates a novel design that directly senses the glottal flow waveform by measuring variations in the electromagnetic properties of neck tissues during voiced segments of speech. The approach is to explore two distinct sensor configurations, namely the“six-element" and the“parallel-plate" resonator. The research focuses on the modeling aspect of the biological load and the resonator prototypes using multi-transmission line (MTL) and finite element (FE) simulation tools. Finally, bench tests performed with both prototypes on phantom loads as well as human subjects are presented.

Publisher

Worcester Polytechnic Institute

Degree Name

MS

Department

Electrical & Computer Engineering

Project Type

Thesis

Date Accepted

2004-01-14

Accessibility

Unrestricted

Subjects

basis functions, perfectly matched layers, PML, neck model, parallel plate resonator, finite element, circulator, glottal waveform, multi-transmission line, dielectric properties of human tissues, radiation currents, weighted residuals, non-acoustic sensor, Speech perception, Speech processing systems, Noise, Detectors

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