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SERVICE ROBOT SPEECH ENHANCEMENT METHOD USING ACOUSTIC MICRO-SENSOR ARRAY

机译:声微传感器阵列的服务机器人语音增强方法

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摘要

Good interactive voice response and perception function is the important technology of intelligent service robot. Service robot works under noisy and multiple-path reflection environment generally. Speech enhancement technology is applied to increase the robustness and intelligence of input signal. Conventional single channel speech enhancement algorithms always improve the Signal-Noise-Ratio of target signal at the price of inevitable speech distortion. In this paper, we introduced an acoustic micro-sensor (microphone) array system as a frontend device to enhance desired signal polluted by diffuse noise. A Modified General Sidelobe Canceller (GSC) algorithm is proposed to achieve full-band stable gain and directional beam response from given angle range. An adaptive post-filter approach will further improve the performance of whole system. Experiments based on real data show that this method is efficient to improve the robustness and intelligence of service robot's interactive voice function.
机译:良好的交互式语音响应和感知功能是智能服务机器人的重要技术。服务机器人通常在嘈杂的多径反射环境下工作。语音增强技术被应用于提高输入信号的鲁棒性和智能性。传统的单通道语音增强算法总是以不可避免的语音失真为代价来改善目标信号的信噪比。在本文中,我们引入了一种声学微传感器(麦克风)阵列系统作为前端设备,以增强被扩散噪声污染的所需信号。提出了一种改进的通用旁瓣抵消器(GSC)算法,以在给定的角度范围内实现全频带稳定增益和定向波束响应。自适应后置滤波方法将进一步提高整个系统的性能。基于真实数据的实验表明,该方法可有效提高服务机器人交互语音功能的鲁棒性和智能性。

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