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FEEDBACK ANC AND SPEECH ENHANCEMENT FOR ACTIVE HEARING PROTECTION ON THE EXTREME NOISY INDUSTRY ENVIRONMENT

机译:反馈ANC和语音增强在极端嘈杂的行业环境下积极听力保护

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In this paper, we propose an active hearing protection system for workers in an extreme noise industrial environment. For the active hearing protection, we utilize ANC (Active and speech enhancement technology. Active hearing protection provides face to face communication that voice is passed through and the noise can be blocked. For this object we propose a method of estimating a secondary path of ANC accordance with user's hearing protection wearing characteristics and a speech enhancement algorithm to improve speech intelligibility with the ANC and the De-Noised speech signal. An adaptive RMC (Residual Music Canceler) is proposed for enhancing the accuracy of the reference signal of the feedback ANC. We obtained results that the secondary path can be accurately estimated and high quality of music sound can be consistently obtained in a time-varying secondary path situation. Most of the ANC system use the LMS algorithm to design a secondary path filter. However the convergence time of the filter is prolonged in the conventional method because the initial coefficient values of the secondary path filter is set to O.To solve this problem, in this paper we propose a method of shortening the convergence time of the filter by setting the coefficient values determined in advance as an initial value of the secondary pass filter. With the proposed method the error is decreased from the initial stage of the secondary path filter, whereby the convergence of the ANC system is increased. In the experiments by using a commercially available headset it was confirmed that the proposed method is faster than the conventional method for convergence of ANC system. By applying the ANC and the De-Noising system in real-time DSP (Digital Signal Processor), we have developed an active hearing protection.
机译:在本文中,我们为极端噪声产业环境中的工人提出了一项积极的听力保护系统。对于主动听力保护,我们利用ANC(主动和语音增强技术。主动听力保护提供面部面对面通信,声音传递,噪声可以被阻塞。对于该目的,我们提出了一种估计ANC的二级路径的方法根据用户的听力保护佩戴特性和语音增强算法,通过ANC和去噪语音信号提高语音可懂度。提出了一种用于提高反馈ANC的参考信号的准确性的自适应RMC(剩余音乐消除器)。我们获得了结果,即可以准确地估计次要路径,并且可以在时变的二级路径情况中一致地获得高质量的音乐声音。大多数ANC系统都使用LMS算法设计辅助路径滤波器。然而收敛时间在传统方法中延长过滤器,因为次要路径FILT的初始系数值ER被设置为O.解决这个问题,在本文中,我们提出了一种通过将预先确定的系数值作为次级通道滤波器的初始值设置为缩短滤波器的收敛时间。利用所提出的方法,误差从次级路径滤波器的初始阶段减小,从而增加了ANC系统的收敛。在通过使用市售的耳机在实验中,证实该方法比ANC系统收敛的传统方法更快。通过在实时DSP(数字信号处理器)中应用ANC和脱模系统,我们开发了一个积极的听力保护。

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