ESTIMATING DOA OF MULTIPLE SPEECH SIGNALS BY IMPROVED HISTOGRAM MAPPING METHOD
Masao Matsuo, Yusuke Hioka, Nozomu Hamada, Yokohamashi Kouhokuku Hiyoshi · 2005
Multiple speech source localization has been an important research topic over the recent years. Histogram mapping method proposed by Huang et al.[1] has two major advantages over the other conventional studies, that it does not require the preliminary DOA estimates, and the estimation is achieved with low computational complexity. In this study, we attempt to improve the performance of Huang’s method by introducing two new procedures. The first improvement is a novel method in which the DOA is obtained from coordinate transformation. The second procedure is the deletion of useless narrow-band components. Simulation results show that the estimation error is reduced to about half of the original histogram mapping method when two speech sources are active simultaneously.