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Virginia Tech

Multi-signal processing for voice recognition in noisy environments

Abstract

dc:description.abstract

One of the main input devices to computerized systems is Voice Recognition Systems (VRS). VRS is best suited for applications where job functions require more than two hands to be performed. The performance of VRS is highly dependent on the environment's noise. The higher the noise level the lower the recognition capability. Automatic lip reading through vision systems have been utilized to improve the recognition capability in noisy environments. However, this approach is costly and time-consuming. The objective of this thesis was to investigate the utilization of an Infrared sensor for automatic lip reading to improve the recognition performance of VRS. The developed system is cheaper and faster than other automatic lip readers. The test results of fifty words and eleven digits indicated that the method has good repeatability, and good character recognition, while not dependent on or sensitive to the ambient light level. Although speaker independence was tested, the results are inconclusive.

Degree

thesis:*
Name thesis:degree_name
Master of Science
Level thesis:degree_level
masters
Discipline thesis:degree_discipline
Industrial and Systems Engineering
Department dc:contributor.department
Industrial and Systems Engineering
Grantor dc:publisher
Virginia Tech
Year dc:date.issued
1991

Author and committee

dc:creator, dc:contributor.*
Author dc:creator
  • Nayfeh, Taysir H.

Rights

dc:rights
Statement dc:rights
  • In Copyright
Language dc:language.iso
en

Identifiers

dc:identifier.*
Dc Identifier Other
etd-10222009-125021
OAI identifier oai:identifier
oai:vtechworks.lib.vt.edu:10919/45247

Chain of custody

source
Harvested from
Virginia Tech
Base URL
vtechworks.lib.vt.edu/oai/request
Last updated
2026-07-22
Source record
OAI-PMH GetRecord
related terms
citation

Nayfeh, Taysir H.. Multi-signal processing for voice recognition in noisy environments. masters thesis, Virginia Tech, 1991. http://hdl.handle.net/10919/45247