2026-09-19T02:40:35Zhttps://dspace.mit.edu/server/oai/request

oai:dspace.mit.edu:1721.1/296872022-01-13T07:54:29Zcom_1721.1_7582com_1721.1_7581col_1721.1_131023

Trevor Darrell. Rangarajan, Vibhav Shyam, 1980- Massachusetts Institute of Technology. Dept. of Electrical Engineering and Computer Science. Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science 2006-03-24T16:15:14Z 2006-03-24T16:15:14Z 2003 2003 http://hdl.handle.net/1721.1/29687 53867213 Thesis (M.Eng.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2003. Includes bibliographical references (p. 57-58). One goal of a pervasive computing environment is to allow the user to interact with the environment in an easy and natural manner. The use of spoken commands, as inputs to a speech recognition system, is one such way to naturally interact with the environment. In challenging acoustic environments, microphone arrays can improve the quality of the input audio signal by beamforming, or steering, to the location of the speaker of interest. The existence of multiple speakers, large interfering signals and/or reverberations or reflections in the audio signal(s) requires the use of advanced beamforming techniques which attempt to separate the target audio from the mixed signal received at the microphone array. In this thesis I present and evaluate a method of modeling reverberations as separate anechoic interfering sources emanating from fixed locations. This acoustic modelling technique allows for tracking of acoustic changes in the environment, such as those caused by speaker motion. by Vibhav Shyam Rangarajan. M.Eng. 58 p. 2310934 bytes 2310743 bytes application/pdf application/pdf eng Massachusetts Institute of Technology M.I.T. theses 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. See provided URL for inquiries about permission. http://dspace.mit.edu/handle/1721.1/7582 Electrical Engineering and Computer Science. Interfacing speech recognition an vision guided microphone array technologies Thesis application/pdf false Publication unknown unknown <Publication xmlns="https://www.openaire.eu/cerif-profile/1.1/" id="47c511b6-e4db-4e46-9c73-af8c37084fab"> <Type xmlns="https://www.openaire.eu/cerif-profile/vocab/COAR_Publication_Types">http://purl.org/coar/resource_type/c_1843</Type> <Language>eng</Language> <Title>Interfacing speech recognition an vision guided microphone array technologies</Title> <PublishedIn> <Publication> </Publication> </PublishedIn> <PublicationDate>2003</PublicationDate> <Authors> <Author> <DisplayName>Rangarajan, Vibhav Shyam, 1980-</DisplayName> <Affiliation> <OrgUnit> </OrgUnit> </Affiliation> </Author> </Authors> <Editors> </Editors> <Publishers> <Publisher> <DisplayName>Massachusetts Institute of Technology</DisplayName> <OrgUnit /> </Publisher> </Publishers> <License>http://dspace.mit.edu/handle/1721.1/7582</License> <Keyword>Electrical Engineering and Computer Science.</Keyword> <Abstract>One goal of a pervasive computing environment is to allow the user to interact with the environment in an easy and natural manner. The use of spoken commands, as inputs to a speech recognition system, is one such way to naturally interact with the environment. In challenging acoustic environments, microphone arrays can improve the quality of the input audio signal by beamforming, or steering, to the location of the speaker of interest. The existence of multiple speakers, large interfering signals and/or reverberations or reflections in the audio signal(s) requires the use of advanced beamforming techniques which attempt to separate the target audio from the mixed signal received at the microphone array. In this thesis I present and evaluate a method of modeling reverberations as separate anechoic interfering sources emanating from fixed locations. This acoustic modelling technique allows for tracking of acoustic changes in the environment, such as those caused by speaker motion.</Abstract> <Access xmlns="http://purl.org/coar/access_right" > </Access> </Publication>