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首页> 外文学位 >THE HUMAN AUDITORY SYSTEM MODELED AS AN AUTOCORRELATOR.
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THE HUMAN AUDITORY SYSTEM MODELED AS AN AUTOCORRELATOR.

机译：人类听觉系统建模为自相关器。

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摘要

This thesis is intended to investigate a new strategy for interpreting the human auditory physiology and assess the impact this knowledge might have on engineering applications such as speech encoding, word recognition, and speaker verification. The new interpretation is based around the signal processing properties associated with the autocorrelation function and has been developed from a strong foundation of literature that has been compiled over the last 50 years.; A distilation of the pertinent literature includes the phylogenetic development of audition, a detailed description of the anatomy of the inner ear, and the well-recognized inconsistencies involved with traditional interpretations of physiology and psychoacoustic experiments. These issues are discussed and reinterpreted to support a new philosophy on the signal processing functionality of the inner ear. From this conceptual model, a mathematical description and a partly phenomenological computer model are developed. The responses of the new model to test stimuli show qualitative similarity to the results of important psychoacoustic experiments, demonstrating that the new philosophy represents a more unified theory on audition than any proposed so far. In particular the new model predicts the effects known as "pitch", "the second filter", and some other phenomena that are not specifically recognized in the literature.; The knowledge gained in this effort is applied to techniques for speech encoding by real zeros, specifically, the reconstruction of signals that have been infinitely clipped. Finally, the concept is extended to include speculation on neural processes at the level of the cochlear nucleus in the brain. At this level an investigation is made to explore the power with which the new model can characterize phoneme signals generated by several different speakers. The results are shown to possess the historically accepted techniques for phoneme characterization as a subset of a dimensionally larger but stable description space.
机译：本文旨在研究一种解释人类听觉生理的新策略，并评估该知识可能对工程应用（如语音编码，单词识别和说话者验证）的影响。这种新的解释是基于与自相关函数相关的信号处理特性，并且是基于过去50年来积累的强大文献基础开发的。有关文献的散布包括试听的系统发育，对内耳解剖结构的详细描述以及与生理学和心理声学实验的传统解释有关的公认的不一致之处。讨论并重新解释了这些问题，以支持关于内耳信号处理功能的新理念。根据该概念模型，开发了数学描述和部分现象学的计算机模型。新模型对测试刺激的反应与重要的心理声学实验的结果在质量上具有相似性，表明新哲学比迄今为止提出的任何理论都代表了更为统一的听觉理论。特别地，新模型预测了被称为“音调”，“第二过滤器”的影响，以及一些文献中未明确识别的其他现象。在这项工作中获得的知识被应用于通过实零进行语音编码的技术，特别是对已无限裁剪的信号的重建。最后，该概念被扩展为包括对大脑中耳蜗核水平的神经过程的推测。在此级别上，将进行研究以探索新模型可用于表征由多个不同扬声器生成的音素信号的功能。结果表明，该结果具有历史上公认的用于音素表征的技术，它是尺寸较大但稳定的描述空间的子集。

著录项

  • 作者

    MARTIN, MARK AARON.;

  • 作者单位

    University of Delaware.;

  • 授予单位 University of Delaware.;
  • 学科 Health Sciences Audiology.; Physics Electricity and Magnetism.
  • 学位 Ph.D.
  • 年度 1982
  • 页码 253 p.
  • 总页数 253
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 耳科学、耳疾病;电磁学、电动力学;
  • 关键词

  • 入库时间 2022-08-17 11:51:26

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