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In this paper, we study the effectiveness of using Taguchi method to determine microphone configuration.
Experimentally determined frequency and directional pressure responses are presented for a face-to-face microphone configuration.
Determination of microphone configuration, number of elements and positions is a nonlinear and non-convex NP-hard optimization problem which was not specified before.
This paper discusses two novel non-iterative design procedures based on eigenfilters for designing broadband beamformers with an arbitrary spatial directivity pattern for an arbitrary microphone configuration.
Figure 13 Microphone configuration II for source localization.
Figure 10 Microphone configuration I for source localization.
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Hence, the method is a strong candidate to design microphone configurations when short development time is only available.
In beamformer design, the microphone configurations which represent microphone number and positions are necessary to be optimized in order to improve the effectiveness of speech enhancement.
The efficiency and the robustness of active noise control against fluctuations depend, amongst other things, on the secondary source and control microphone configurations.
In some applications, the possibilities for microphone placement are very large, and the search of the optimum solution, which involves exploring all possible microphone configurations, is an unfeasible task.
The numerical results demonstrate that the method is capable to develop the microphone configurations with similar performance compared with the heuristic methods when short computational time is only available.
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