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Evaluation and Comparison of Beamforming Algorithms for Microphone Array Speech Processing

Recent years have brought many new developments in the processing of speech and acoustic signals.
Yet, despite this, the process of acquiring signals has gone largely unchanged.
Adding spatial diversity to the repertoire of signal acquisition has long been known to offer
advantages for processing signals further. The processing capabilities of mobile devices had not
previously been able to handle the required computation to handle these previous streams of information. But current processing capabilities are such that the extra workload introduced by the addition of mutiple sensors on a mobile device are not over-burdensome. How these extra data streams can best be handled is still an open question. The present work deals with the examination of one type of spatial processing technique, known as beamforming. A microphone array test platform is constructed and verified through a number of beamforming agorithms. Issues related to speech acquisition through microphones arrays are discussed. The algorithms used for verification are presented in detail and compared to one another.

Identiferoai:union.ndltd.org:GATECH/oai:smartech.gatech.edu:1853/11606
Date11 July 2006
CreatorsAllred, Daniel Jackson
PublisherGeorgia Institute of Technology
Source SetsGeorgia Tech Electronic Thesis and Dissertation Archive
Languageen_US
Detected LanguageEnglish
TypeThesis
Format7792532 bytes, application/pdf

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