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Single-channel Signal Features for Microphone Utility Estimation

Proposal for a Bachelor Thesis

Topic:

Single-channel Signal Features for Microphone Utility Estimation

Description:

Many microphone array signal processing techniques, e.g., for beamforming or localization, rely on coherent input signals. The occlusion of microphones by obstacles and the presence of reverberation or interfering sources can result in low inter-channel coherence, potentially severely degrading the performance of subsequent processing schemes. When direct estimation of the coherence is infeasible, a correlation analysis of single-channel signal features offers an alternative way of determining candidate groups of sensors for coherent signal processing.

In this thesis, the efficacy of signal feature correlation analysis to track the usefulness of microphone channels in time-variant scenarios shall be investigated. Furthermore, the influence of algorithmic parameters, in particular the observation window length, shall be quantified. The analysis is to be conducted in MATLAB, based on simulated and recorded signals.

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Professor:

Prof. Dr.-Ing. Walter Kellermann

Supervisior:

Michael Günther, M.Sc. (Cauerstr. 7, room 05.020, email: michael.guenther@fau.de)

Prerequisites:

Course ’Digital Signal Processing’
Experience with MATLAB

Available:

Immediately