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Real-Time Smartphone Apps Integrating Signal Processing Modules of Hearing Aids

机译：集成了助听器信号处理模块的实时智能手机应用程序

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摘要

This thesis covers the integration of several signal processing modules that appear in digital hearing aids as real-time smartphone apps. The modules that are considered for integration in the developed apps in this thesis are voice activity detector, supervised noise classifier, noise reduction, and compression. The objective of this work has been to lay the foundation for realtime implementation of integrating various signal processing pipelines that are used in digital hearing aids on the smartphone platform as an open source platform which is widely used and carried by people. More specifically, two integrations are covered in this thesis. The first integration involves combining a previously developed voice activity detector and a previously developed supervised noise classifier into a real-time smartphone app. The second integration involves combining another previously developed voice activity detector, a previously developed noise reduction, and the compression module in the MATLAB Audio System Toolbox into a real-time smartphone app. The results obtained indicate that the developed integrations run in real-time on both iOS and Android smartphones.
机译：本文涵盖了几种信号处理模块的集成，这些模块作为实时智能手机应用程序出现在数字助听器中。本文考虑将其集成到已开发应用程序中的模块是语音活动检测器，监督式噪声分类器，降噪和压缩。这项工作的目的是为在智能手机平台上集成数字信号助听器中使用的各种信号处理管道（作为人们广泛使用和携带的开源平台）实时实施奠定基础。更具体地说，本文涵盖了两个集成。第一次集成涉及将以前开发的语音活动检测器和以前开发的监督噪声分类器组合到实时智能手机应用程序中。第二种集成涉及将另一个以前开发的语音活动检测器，一个以前开发的降噪功能和MATLAB Audio System Toolbox中的压缩模块组合到一个实时智能手机应用程序中。获得的结果表明，开发的集成可在iOS和Android智能手机上实时运行。

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  • 作者

    Chowdhury, Tahsin Ahmed.;

  • 作者单位

    The University of Texas at Dallas.;

  • 授予单位 The University of Texas at Dallas.;
  • 学科 Electrical engineering.;Computer science.
  • 学位 M.S.E.E.
  • 年度 2018
  • 页码 103 p.
  • 总页数 103
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 康复医学;
  • 关键词

  • 入库时间 2022-08-17 11:38:52

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