Distinguishing True and False Source Locations when Localizing Multiple Concurrent Speech Sources

Summary, in English

A permutation problem arises in the case of locating multiple speech sources using several sensor arrays in the far field. The intersection of different direction of arrival (DOA) estimates between sensor arrays leads to a set of real source locations as well as a set of false intersections. This paper presents a novel method for pairing DOA estimates from different sensor arrays, resulting in the corresponding real intersection points. The algorithm presented is numerically efficient and suitable for real time implementations. Real room recordings are used to evaluate the method.

• Author: Mikael Swartling; Mikael Nilsson; Nedelko Grbic
• Department/s: Department of Electrical and Information Technology; Master of Science in Engineering - Chinees; Mathematics (Faculty of Engineering); Mathematical Imaging Group
• Publishing year: 2008-07
• Language: English
• Pages: 361-364
• Publication/Series: 2008 5th IEEE Sensor Array and Multichannel Signal Processing Workshop
• Links: http://dx.doi.org/10.1109/SAM.2008.4606890
• Document type: Conference paper
• Topic: Signal Processing
• Conference name: 2008 IEEE Sensor Array and Multichannel Signal Processing Workshop
• Conference date: 2008-07-21 - 2008-07-23
• Conference place: Darmstadt, Germany
• Status: Published
• Research group: Mathematical Imaging Group
• ISBN/ISSN/Other: ISBN: 978-1-4244-2241-8; ISBN: 978-1-4244-2240-1