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BARGE-IN- AND NOISE-FREE SPOKEN DIALOGUE INTERFACE BASED ON SOUND FIELD CONTROL AND SEMI-BLIND SOURCE SEPARATION

机译:基于声场控制和半盲源分离的驳船和无噪声口语对话界面

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摘要

For hands-free spoken dialogue system, we propose an interface to eliminate known noise outputted by the dialogue system and unknown noise sufficiently by giving known source of the loudspeaker output. Moreover, elimination of known noise is reinforced by sound field control. The proposed method, at first, eliminates the loudspeaker output at the microphone points using sound field control with fixed filter coefficients. Next, the observed signals are processed by a source separation to eliminate both known and unknown noise. The conventional approach to combine acoustic echo canceller and adaptive beamformer requires double-talk detection (DTD) in noisy environment, which is difficult to implement. Due to no use of DTD, the proposed method works better than the conventional method in real environment. To prove this, we show in the experiment that the performance of the proposed method is superior to the performance limit of the conventional method.
机译:对于免提口头的对话系统,我们提出了一种界面,以消除对话系统输出的已知噪声,通过给出扬声器输出的已知来源,充分地通过充分的噪音。此外,通过声场控制增强了已知噪声的消除。首先,该方法首先消除了使用具有固定滤波器系数的声场控制在麦克风点处的扬声器输出。接下来,通过源分离处理观察到的信号以消除已知和未知噪声。结合声学回声消除器和自适应波束形成器的传统方法需要在嘈杂的环境中进行双通话检测(DTD),这难以实现。由于没有使用DTD,所提出的方法优于现实环境中的传统方法。为了证明这一点,我们在实验中展示了所提出的方法的性能优于传统方法的性能极限。

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