Audio Signal Processing
This paper presents an application-oriented approach to Acoustic Source Localization using a coincident microphone array. Multiple processing blocks are presented to generate a reactive, yet stable Direction of Arrival estimation tuned toward speaker tracking. Building on an energy based scanning method, individual characteristics, such as sound field directivity and static sound source positions are used for adaptive smoothing of the detected angle. The methods and resulting performance gain are discussed for the individual components of the algorithm. Objective performance is evaluated using simulated and recorded data. Audio quality is assessed using listening tests, which show a significant increase in subjective sound quality, noise suppression, and speech intelligibility when combining the tracker with a beamforming algorithm for coincident microphone arrays.
Authors: Jonathan D Ziegler (Stuttgart Media University), Hendrik Paukert (Stuttgart Media University), Prof. Dr. Andreas Koch (HdM Stuttgart) and Prof. Dr. Andreas Schilling (Eberhard Karls University Tuebingen)