Title :
Multiple acoustic sources localization using incident Signal Power comparison
Author :
Salvati, Daniele ; Roda, Antonio ; Canazza, Sergio ; Foresti, Gian Luca
Author_Institution :
Dept. of Math. & Comput. Sci., Univ. of Udine, Udine, Italy
fDate :
Aug. 30 2011-Sept. 2 2011
Abstract :
We present a novel approach to locate multiple acoustic sources in far-field environments, in order to solve an interesting problem in different application domain, such as: audio surveillance systems and soundscape analysis frameworks. This approach aims at finding a solution to the ambiguities in Direction Of Arrivals (DOAs) combination caused by simultaneous multiple sources. The algorithm is based on two steps: the separation of the sources by means of beamforming techniques and the comparison of the Incident Signal Power (ISP) spectrum by means of a spectral distance measure. We implemented a prototype, composed by two linear arrays, that has been successfully tested in a real noisy environment.
Keywords :
acoustic signal processing; array signal processing; direction-of-arrival estimation; audio surveillance systems; direction of arrival estimation; incident signal power spectrum; linear arrays; multiple acoustic sources localization; soundscape analysis frameworks; spectral distance measure; Acoustics; Array signal processing; Direction of arrival estimation; Estimation; Microphone arrays; Sensor arrays;
Conference_Titel :
Advanced Video and Signal-Based Surveillance (AVSS), 2011 8th IEEE International Conference on
Conference_Location :
Klagenfurt
Print_ISBN :
978-1-4577-0844-2
Electronic_ISBN :
978-1-4577-0843-5
DOI :
10.1109/AVSS.2011.6027298