Title :
Sound capture from spatial volumes: matched-filter processing of microphone arrays having randomly-distributed sensors
Author :
Jan, Ea-Ee ; Flanagan, James
Author_Institution :
CAIP Center, Rutgers Univ., Piscataway, NJ, USA
Abstract :
This report describes microphone arrays and parallel signal processing for high-quality sound capture in noisy, reverberant enclosures. The technique incorporates matched-filtering of individual sensors and parallel processing to provide spatial volume selectivity that mitigates effects of noise interference and multipath distortion. Truncated causal approximations to ideal matched-filters and arrays composed of randomly distributed transducers reduce complexity and improve the quality of sound capture. The method outperforms traditional delay-and-sum beamformers which provide only directional selectivity
Keywords :
acoustic noise; acoustic signal processing; acoustic transducer arrays; array signal processing; interference suppression; matched filters; microphones; multipath channels; parallel processing; random processes; reverberation; speech processing; complexity; matched-filter processing; microphone arrays; multipath distortion; noise interference; noisy, reverberant enclosures; parallel signal processing; randomly distributed transducers; randomly-distributed sensors; sound capture; spatial volumes; truncated causal approximations; Acoustic sensors; Attenuation; Frequency response; Impedance matching; Matched filters; Microphone arrays; Random number generation; Sensor arrays; Signal processing; Signal to noise ratio;
Conference_Titel :
Acoustics, Speech, and Signal Processing, 1996. ICASSP-96. Conference Proceedings., 1996 IEEE International Conference on
Conference_Location :
Atlanta, GA
Print_ISBN :
0-7803-3192-3
DOI :
10.1109/ICASSP.1996.543271