Improving Beamforming for Distant Speech Recognition in Reverberant Environments Using a Genetic Algorithm for Planar Array Synthesis

Speech Communication; 10. ITG Symposium(2012)

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摘要
Beamforming is crucial for hands-free mobile terminals and voiceenabled automated home environments based on distant-speech interaction to mitigate causes of system degradation, e.g., interfering noise sources or competing speakers. Among the abilities and complexity of a beamformer its performance also depends on the microphone array geometry. This paper highlights a major disadvantage in beamforming - a high sensitivity to reflections from the ceiling and the floor at frequencies above 2000 Hz- by using a horizontal uniform circular array with a center microphone in reverberant environments, e.g., a conference room, and a steering direction close to the array plane. Furthermore, it presents an improved beamformer and a planar array synthesized by a modified genetic algorithm, which exhibits a reduced sensitivity to floor and ceiling reflections and an improved directivity at lower frequencies in combination with a beamformer.
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关键词
array signal processing,beamforming,planar array,genetic algorithm,non-dominated sorting,multiple objective optimization,crowded tournament selection,convex-optimization based beamformer
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