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Challenges and Recent Developments in Hearing Aids: Part I. Speech Understanding in Noise Microphone Technologies and Noise Reduction Algorithms

机译:助听器面临的挑战和最新发展:第一部分:噪声麦克风技术和降噪算法中的语音理解

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摘要

This review discusses the challenges in hearing aid design and fitting and the recent developments in advanced signal processing technologies to meet these challenges. The first part of the review discusses the basic concepts and the building blocks of digital signal processing algorithms, namely, the signal detection and analysis unit, the decision rules, and the time constants involved in the execution of the decision. In addition, mechanisms and the differences in the implementation of various strategies used to reduce the negative effects of noise are discussed. These technologies include the microphone technologies that take advantage of the spatial differences between speech and noise and the noise reduction algorithms that take advantage of the spectral difference and temporal separation between speech and noise. The specific technologies discussed in this paper include first-order directional microphones, adaptive directional microphones, second-order directional microphones, microphone matching algorithms, array microphones, multichannel adaptive noise reduction algorithms, and synchrony detection noise reduction algorithms. Verification data for these technologies, if available, are also summarized.
机译:这篇评论讨论了助听器设计和安装方面的挑战,以及满足这些挑战的先进信号处理技术的最新发展。审查的第一部分讨论了数字信号处理算法的基本概念和基本组成部分,即信号检测和分析单元,决策规则以及决策执行中涉及的时间常数。此外,还讨论了用于减少噪声负面影响的各种策略的实现机制和差异。这些技术包括利用语音和噪声之间的空间差异的麦克风技术,以及利用频谱差异和语音和噪声之间的时间间隔的降噪算法。本文讨论的具体技术包括一阶定向麦克风,自适应定向麦克风,二阶定向麦克风,麦克风匹配算法,阵列麦克风,多通道自适应降噪算法和同步检测降噪算法。还总结了这些技术的验证数据(如果有)。

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