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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的嘈杂和混响环境中的源分离

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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:在结合空间传感和独立分量分析的独特框架中,我们恢复了撞击声源,并估计了微型四个麦克风阵列的到达方向。我们在不同采集噪声和混响条件下检查和量化所提出的算法的性能。对于使用房间声学模型的人工产生的麦克风信号,算法在适度的混响环境中显示出超过10 dB的分离。通过在典型的会议室环境中的微型麦克风阵列中的录制,如果两个语音源之间的角距离超过30度,则该算法显示出超过10 dB的分离性能。

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