Teutsch H, Kellermann W (2006)
Publication Language: English
Publication Type: Conference contribution
Publication year: 2006
Pages Range: 3273
Event location: Honolulu, Hawaii
DOI: 10.1121/1.4777114
Many applications of acoustic signal processing rely on estimates of several parameters present in the observed acoustic scene such as the number and location of acoustic sources.These parameters have been traditionally estimated by means of classical array signal processing (CASP) algorithms using microphone arrays. Algorithms for parameter estimation solely based on the paradigm of CASP often suffer from the narrowband assumption underlying the signal model. This restriction limits their usability when wideband signals, such as speech, are present in the wave field under observation. We investigate the parameter estimation problem by applying the notion of wave field decomposition using baffled circular microphone arrays. The obtained wave field representation is used as the basis for ‘‘modal array signal processing algorithms.’’ It is shown that by applying the notion of modal array signal processing, novel algorithms can be derived that have the potential to unambiguously detect and localize multiple simultaneously active wideband sources in the array’s full field‐of‐view. Performance evaluations by means of simulations, measurements, and real‐time case studies are presented.
©ASA
APA:
Teutsch, H., & Kellermann, W. (2006). Modal array signal processing using circular microphone arrays applied to acoustic source detection and localization problems. In Proceedings of the 4th Joint Meeting of Acoustical Society of America and Acoustical Society of Japan (pp. 3273). Honolulu, Hawaii, US.
MLA:
Teutsch, Heinz, and Walter Kellermann. "Modal array signal processing using circular microphone arrays applied to acoustic source detection and localization problems." Proceedings of the 4th Joint Meeting of Acoustical Society of America and Acoustical Society of Japan, Honolulu, Hawaii 2006. 3273.
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