车内语音通信中具有嚎叫控制的双麦克风语音增强系统

IF 1.3 Q3 ENGINEERING, ELECTRICAL & ELECTRONIC Frontiers in signal processing Pub Date : 2022-03-11 DOI:10.3389/frsip.2022.819113
Yehav Alkaher, Israel Cohen 
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引用次数: 1

摘要

在本文中,我们解决了双麦克风语音强化的问题,以改善车内语音通信通过嚎叫控制。语音强化系统从扬声器的麦克风获取语音,并通过扬声器将其传递给车厢内的其他听众。汽车舱室的狭小空间使其容易受到声音反馈的影响,从而产生嚎叫的噪音。所提出的系统的目标是在不影响输出语音质量的同时保持所需的高放大增益。双麦克风系统由一个用于语音采集的麦克风和另一个用于监测嚎叫检测环境的麦克风组成,其位置取决于其嚎叫检测灵敏度。该算法包含基于幅度-斜率-偏差测量的增益控制段,降低了啸叫检测时的放大增益。针对设计的一组场景,采用帕累托优化方法,找出机舱内嚎叫检测麦克风的最优位置。Pareto优化考虑了问题的双目标性质,即最小化相对增益减少和整体语音失真。结果表明,所提出的双传声器系统优于单传声器系统。双传声器系统具有更高的啸叫检测灵敏度,从而证明了性能的改进。此外,通过利用帕累托前沿和反前沿方法,提供了一个麦克风星座设计过程,以实现最佳的嚎叫检测。
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Dual-Microphone Speech Reinforcement System With Howling-Control for In-Car Speech Communication
In this paper, we address the problem of dual-microphone speech reinforcement for improving in-car speech communication via howling control. A speech reinforcement system acquires speech from a speaker’s microphone and delivers it to the other listeners in the car cabin through loudspeakers. A car cabin’s small space makes it vulnerable to acoustic feedback, resulting in the appearance of howling noises. The proposed system aims to maintain a desired high amplification gain over time while not compromising the output speech quality. The dual-microphone system consists of a microphone for speech acquisition and another microphone that monitors the environment for howling detection, where its location depends on its howling detection sensitivity. The proposed algorithm contains a gain-control segment based on the magnitude-slope-deviation measure, which reduces the amplification-gain in the case of howling detection. To find the optimal locations of the howling-detection microphone in the cabin, for a devised set of scenarios, a Pareto optimization method is applied. The Pareto optimization considers the bi-objective nature of the problem, i.e., minimizing both the relative gain-reduction and the overall speech distortion. It is shown that the proposed dual-microphone system outperforms a single-microphone-based system. The performance improvement is demonstrated by showing the higher howling detection sensitivity of the dual-microphone system. Additionally, a microphone constellation design process, for optimal howling detection, is provided through the utilization of the Pareto fronts and anti-fronts approach.
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