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A single-processor approach to speech processing pipeline of bilateral cochlear implant.

机译:双边人工耳蜗语音处理管道的单处理器方法。

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摘要

This dissertation covers a single-processor approach to the speech processing pipeline of bilateral Cochlear Implants (CIs). The use of only a single processor to provide binaural stimulation signals overcomes the synchronization problem, which is an existing challenging problem in the deployment of bilateral CI devices. The developed single-processor speech processing pipeline provides CI users with a sense of directionality. Its non-synchronization feature as well as low computational and memory requirements make it a suitable solution for actual deployment. A speech enhancement framework is developed that incorporates different non-Euclidean speech distortion criteria and different noise environments. This framework not only allows the design of environment-optimized parameters but also enables a user-specific solution where the anthropometric measurements of an individual user are incorporated into the training process to obtain individualized bilateral parameters. The developed techniques are primarily meant for bilateral CIs, however, they are general purpose in the sense that they are also applicable to binaural hearing aids, bimodal devices having hearing aid in one ear and cochlear implant in the other ear as well as dual-channel speech enhancement applications. Extensive experiments have shown the effectiveness of the developed solution in six commonly encountered noise environments compared to a similar one-channel pipeline when using two separate processors or when using independent sequential processing.
机译:本文涵盖了单处理器方法的双边人工耳蜗(CIs)的语音处理管道。仅使用单个处理器来提供双耳刺激信号克服了同步问题,这是在双边CI设备部署中存在的难题。开发的单处理器语音处理管道为CI用户提供了方向感。它的非同步功能以及较低的计算和内存要求使其成为实际部署的合适解决方案。开发了语音增强框架,该框架合并了不同的非欧几里德语音失真标准和不同的噪声环境。该框架不仅允许设计环境优化的参数,而且还可以实现特定于用户的解决方案,其中将单个用户的人体测量值合并到训练过程中以获得个性化的双边参数。研发的技术主要用于双侧CI,但是,它们在以下方面也具有通用性:它们还适用于双耳助听器,在一只耳朵中具有助听器的双峰装置以及在另一只耳朵中具有耳蜗的植入物以及双通道语音增强应用程序。当使用两个单独的处理器或使用独立的顺序处理时,与类似的单通道流水线相比,广泛的实验表明该解决方案在六个常见噪声环境中的有效性。

著录项

  • 作者单位

    The University of Texas at Dallas.;

  • 授予单位 The University of Texas at Dallas.;
  • 学科 Engineering Biomedical.;Computer Science.;Engineering Electronics and Electrical.
  • 学位 Ph.D.
  • 年度 2014
  • 页码 120 p.
  • 总页数 120
  • 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 11:53:50

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