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Source separation in noisy and reverberant environment using miniature microphone array

机译:使用微型麦克风阵列在嘈杂和混响环境中进行信号源分离

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In the unique framework that combines spatial sensing and independent component analysis, we recover the impinging acoustic sources and estimate their direction of arrival on the miniature four microphone array. We examine and quantify the performance of the proposed algorithm under different acquisition noise and reverberant conditions. With artificially generated microphone signals using room acoustic model, the algorithm demonstrates over 10 dB separation in moderate reverberant environments. With the recordings from a miniature microphone array in a typical conference-room environment, the algorithm demonstrates over 10 dB separation performance if the angular distance between two speech sources is over 30 degrees.
机译:在结合空间感测和独立成分分析的独特框架中,我们恢复了撞击声源,并估计了它们在微型四麦克风阵列上的到达方向。我们在不同的采集噪声和混响条件下检查并量化了所提出算法的性能。使用室内声学模型人工生成的麦克风信号,该算法可在中等混响环境中演示超过10 dB的分离。在典型的会议室环境中,使用微型麦克风阵列的录音,如果两个语音源之间的角距超过30度,则该算法将显示出超过10 dB的分离性能。

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