SPEECH PATTERN RECOGNITION IN ELECTRIC HEARING

电听觉中的语音模式识别

• 批准号: 2718432
• 负责人: Qian-Jie Fu
• 金额: $ 5.46万
• 依托单位: HOUSE RESEARCH INSTITUTE
• 依托单位国家: 美国
• 财政年份: 1998
• 资助国家: 美国
• 起止时间: 1998-08-01 至 2001-07-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/2718432
• 关键词: auditory stimulus; behavioral /social science research tag; clinical research; cochlear implants; human subject; neural information processing; psychoacoustics; sound frequency; speech recognition

Although multichannel cochlear implants have achieved great success, there is a wide range of performance across patients. Understanding the cause of high variability of speech performance in cochlear implant users is still one of the biggest challenges in electric hearing. The present studies are aimed at understanding the factors that contribute to individual performance and at improving performance through modifications to the speech processor parameters. The hypothesis of this research is that speech perception in electric hearing is primarily based on a measure of similarity between the electrically-evoked peripheral neural discharge patterns and the central speech pattern templates. We further hypothesize that the central speech pattern templates can accommodate to some degree based on experience with new peripheral neural patterns. Two fundamental aspects of speech pattern recognition in electric hearing are addressed in this proposal. The aim of the first experiment will be investigate how the peripheral neural patterns are affected by speech processor parameters. The match between the peripheral neural patterns and the central pattern templates will be inferred from speech performance. Recognition of vowels and consonants will be measured without any training period. The interactive efforts of three critical speech processor parameters: number of electrodes, the allocation of frequency regions to electrodes, and the stimulation mode and location of electrodes, will be investigated. The second experiment is aimed at understanding how the central speech pattern templates are altered by experience with new peripheral neural patterns of speech sounds. Experimental speech processors with significantly different peripheral neural patterns of speech sounds will be implemented in the subject's wearable speech processor. Speech performance as a function of the same speech processor parameters as those in Experiment 1 will be measured over time. Results from this study may indicate how far the central speech pattern templates can be altered and how long it takes. We believe that the results obtained from this proposal could improve speech performance of individual cochlear implant users through modifications to the speech processor parameters, lead to better designs of auditory prostheses, and improve understanding of speech pattern recognition in both acoustic and electric hearing.

虽然多通道人工耳蜗植入取得了巨大成功， 是患者之间的广泛表现。了解原因 人工耳蜗使用者语音表现的高度可变性仍然 这是电听觉领域最大的挑战之一。目前的研究是 旨在了解导致个人 性能，并通过修改 语音处理器参数。这项研究的假设是， 电听觉中的语音感知主要基于 电诱发的周围神经放电 模式和中心语音模式模板。我们进一步假设 中央语音模式模板可以在一定程度上适应 基于新的外周神经模式的经验。两个基本 电听觉中的语音模式识别的方面在 这个提议。第一个实验的目的将是研究如何 外围神经模式受语音处理器参数的影响。 外周神经模式和中枢模式的匹配 将从语音表现推断模板。元音识别 而辅音将在没有任何训练期的情况下被测量。的 三个关键语音处理器参数的交互效果： 电极的频率区域的分配，以及 刺激模式和电极位置。的 第二个实验的目的是了解如何中央语音模式 模板被新的外周神经模式的经验所改变， 说话声音。具有显着不同的实验语音处理器 语音的外周神经模式将在 受试者的可穿戴语音处理器。 言语表现作为一种功能， 与实验1中相同的语音处理器参数将是 随着时间的推移。这项研究的结果可能表明， 可以改变中央语音模式模板以及需要多长时间。我们 我相信，从这项建议中获得的结果可以改善语音 人工耳蜗使用者的个人表现， 语音处理器参数，导致更好的听觉设计 假肢，并提高对语音模式识别的理解， 听觉和电听觉。