| Paper: | AE-P1.2 | ||
| Session: | Loudspeaker and Microphone Array Processing | ||
| Time: | Wednesday, May 17, 10:00 - 12:00 | ||
| Presentation: | Poster | ||
| Topic: | Audio and Electroacoustics: Loudspeaker and Microphone Array Signal Processing | ||
| Title: | SOLVING THE PERMUTATION PROBLEM OF FREQUENCY-DOMAIN BSS WHEN SPATIAL ALIASING OCCURS WITH WIDE SENSOR SPACING | ||
| Authors: | Hiroshi Sawada, Shoko Araki, Ryo Mukai, Shoji Makino, NTT Corporation, Japan | ||
| Abstract: | This paper describes a method for solving the permutation problem of frequency-domain blind source separation (BSS). The method analyzes the mixing system information estimated with independent component analysis (ICA). When we use widely spaced sensors, spatial aliasing may occur for high frequencies due to the possibility of multiple cycles in the sensor spacing. This causes some difficulty when analyzing the information. We propose a new method to overcome this difficulty. This method first estimates the model parameters for the mixing system at low frequencies where spatial aliasing does not occur, and then refines the estimations by using data at all frequencies. Experimental results show the effectiveness of the new method. | ||
©2018 Conference Management Services, Inc. -||- email: webmaster@icassp2006.org -||- Last updated Friday, August 17, 2012