| Paper: | AE-L2.3 | ||
| Session: | Loudspeaker and Microphone Array Processing | ||
| Time: | Wednesday, May 17, 14:40 - 15:00 | ||
| Presentation: | Lecture | ||
| Topic: | Audio and Electroacoustics: Loudspeaker and Microphone Array Signal Processing | ||
| Title: | DOA Estimation for Multiple Sparse Sources with Normalized Observation Vector Clustering | ||
| Authors: | Shoko Araki, Hiroshi Sawada, Ryo Mukai, Shoji Makino, NTT Corporation, Japan | ||
| Abstract: | This paper presents a new method for estimating the direction of arrival (DOA) of source signals whose number N can exceed the number of sensors M. Subspace based methods, e.g., the MUSIC algorithm, have been widely studied, however, they are only applicable when M > N. Another conventional independent component analysis based method allows M = N, however, it cannot be applied when M < N. By contrast, our new method can be applied where the sources outnumber the sensors (i.e., an underdetermined case M < N ) by assuming source sparseness. Our method can cope with 2- and 3-dimensionally distributed sources with a 2- and 3-dimensional sensor array. We obtained promising experimental results for 3x4, 3x5 and 4x5 (#sensors x #speech sources) in a reverberant room. | ||
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