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Selective Listening Point Audio Based On Blind Signal Separation And Stereophonic Technology

机译:基于盲信号分离和立体声技术的选择性听点音频

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摘要

A sound field reproduction method is proposed that uses blind source separation and a head-related transfer function. In the proposed system, multichannel acoustic signals captured at distant microphones are decomposed to a set of location/signal pairs of virtual sound sources based on frequency-domain independent component analysis. After estimating the locations and the signals of the virtual sources by convolving the controlled acoustic transfer functions with each signal, the spatial sound is constructed at the selected point. In experiments, a sound field made by six sound sources is captured using 48 distant microphones and decomposed into sets of virtual sound sources. Since subjective evaluation shows no significant difference between natural and reconstructed sound when six virtual sources and are used, the effectiveness of the decomposing algorithm as well as the virtual source representation are confirmed.
机译:提出了一种利用盲源分离和头部相关传递函数的声场再现方法。在提出的系统中,基于频域独立分量分析,将在远处的麦克风处捕获的多通道声学信号分解为一组虚拟声源的位置/信号对。在通过将受控的声传递函数与每个信号进行卷积来估计虚拟源的位置和信号之后,在选定点处构建空间声音。在实验中,使用48个远距离麦克风捕获由六个声源产生的声场,并将其分解为虚拟声源集。由于在使用6个虚拟源时,主观评估显示自然声音和重构声音之间没有显着差异,因此可以确认分解算法和虚拟源表示的有效性。

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