基于实时信号处理的智能助听器系统

Yao Chen, Yangjie Wei, Nan Guan, Yi Wang
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引用次数: 4

摘要

佩戴在佩戴者耳内或耳外的助听器是一种为佩戴者阻挡噪声和增强目标声音信号的电声装置。然而,在传统的助听器中,没有一种方法可以自动将噪声从接收到的混合信号中分离出来。特别是在背景复杂的情况下,传统助听器放大后的声音仍然是多声源的混合,佩戴者无法像预期的那样提取出目标声音。本文提出了一种智能助听器系统,该系统由声学特性建模模块、声源分离模块和目标源识别模块组成。提出的解决方案可以自动分离声源,从而增强目标扬声器的声音并过滤其他声音。在三个声源上进行了实验,结果表明了该智能助听器的可行性和有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
An Intelligent Hearing Aid System Based on Real-Time Signal Processing
A hearing aid, worn in or around a wearer's ear, is an electroacoustic device to block noise and enhance target sound signal for the wearer. However, there is no method in traditional hearing aids that can automatically separate noise from a received signal mixture. Especially when the backing round is complex, amplified sound by a traditional hearing aid is still a multi-source mixture, and its wearer could not extract the target sound as expected. In this paper, a smart hearing aid system is proposed, consisting of an acoustic property modeling module, an acoustic source separation module and a target source recognition module. The proposed solution can automatically separate an acoustic source and thus enhance the target speaker's sound and filter the other sounds. Experiments with three sources has been conducted and the results show the feasibility and validity of our intelligent hearing aid.
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