Abstract
A new methodology called blind source localization and separation (BSLS) is developed to locate sound sources in three-dimensional space and extract their corresponding sound signals from the directly measured data. This technology includes two steps: Firstly, locate the sound sources by applying signal pre-processing and triangulation algorithms to the signals measured at microphones. Secondly, taking the sound source location results from the first step and measured signals at microphone as the input data, use the point source separation method to extract the sources and reconstruct the sound sources at their locations. The impact of various factors, such as the types and characteristics of sources, microphone configurations, signal to noise ratios, number of microphones, and errors in source localizations on the quality of source separation will be examined and compared to those obtained by the conventional blind source separation method.
Published Version
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