H92-1057 acceptable for playback through the microphone array hardware . This involves changing
H01-1073 development of an intelligent microphone array . Here , we employ a Gaussian
H90-1032 talker location using a linear microphone array . He advocated an algorithm called
H92-1054 helpful when used with data from a microphone array . Results were less clear when
H90-1032 claimed it was very successful in microphone array work . Results were presented
H91-1038 signal and noise separation using microphone arrays . Such algorithms can improve
H92-1057 from the same talkers using the microphone array system for acquisition . Thus
H91-1001 results , and front-end techniques ( microphone arrays and representations of acoustic
H89-2063 optimal placements for a linear microphone array . In so doing we have developed
H92-1055 signal processing . The use of microphone arrays is motivated by a desire to improve
H91-1027 opportunities in steerable-beam microphone arrays with automatic source tracking
H90-1033 Cross-Correlation Consider a linear microphone array having M mi - crophones , each
H92-1055 and the Flanagan delay-and-sum microphone array can provide complementary benefits
H92-1055 filtering . As in the case of microphone arrays , we are also especially interested
H92-1055 a pilot evaluation of the 23 - microphone array developed by Flanagan and his
H89-2063 of Accomplishments : <title> A Microphone Array System for Speech Recognition
H90-1032 , the issue of how to evaluate microphone arrays was raised , and it was suggested
H92-1055 : acoustical pre-processing , microphone array processing , and the use of physiologically-motivated
H91-1027 front-end technologies , namely microphone arrays and representations of acoustic
H91-1084 construction of a high-quality microphone array system for speech input to machines
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