Tuyển tập báo cáo các nghiên cứu khoa học quốc tế ngành hóa học dành cho các bạn yêu hóa học tham khảo đề tài: Research Article Measurement Combination for Acoustic Source Localization in a Room Environment | Hindawi Publishing Corporation EURASIP Journal on Audio Speech and Music Processing Volume 2008 Article ID 278185 14 pages doi 2008 278185 Research Article Measurement Combination for Acoustic Source Localization in a Room Environment Pasi Pertila Teemu Korhonen and Ari Visa Department of Signal Processing Tampere University of Technology . Box 553 33101 Tampere Finland Correspondence should be addressed to Pasi Pertila Received 31 October 2007 Revised 4 February 2008 Accepted 23 March 2008 Recommended by Woon-Seng Gan The behavior of time delay estimation TDE is well understood and therefore attractive to apply in acoustic source localization ASL . A time delay between microphones maps into a hyperbola. Furthermore the likelihoods for different time delays are mapped into a set of weighted nonoverlapping hyperbolae in the spatial domain. Combining TDE functions from several microphone pairs results in a spatial likelihood function SLF which is a combination of sets of weighted hyperbolae. Traditionally the maximum SLF point is considered as the source location but is corrupted by reverberation and noise. Particle filters utilize past source information to improve localization performance in such environments. However uncertainty exists on how to combine the TDE functions. Results from simulated dialogues in various conditions favor TDE combination using intersection-based methods over union. The real-data dialogue results agree with the simulations showing a 45 RMSE reduction when choosing the intersection over union of TDE functions. Copyright 2008 Pasi Pertila et al. This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use distribution and reproduction in any medium provided the original work is properly cited. 1. INTRODUCTION Passive acoustic source localization ASL methods are attractive for surveillance applications which are a constant topic of interest. Another .