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.
| Identifer | oai:union.ndltd.org:GATECH/oai:smartech.gatech.edu:1853/11606 |
| Date | 11 July 2006 |
| Creators | Allred, Daniel Jackson |
| Publisher | Georgia Institute of Technology |
| Source Sets | Georgia Tech Electronic Thesis and Dissertation Archive |
| Language | en_US |
| Detected Language | English |
| Type | Thesis |
| Format | 7792532 bytes, application/pdf |
Page generated in 0.0019 seconds