课题基金 / 基金详情

NEURAL CODING OF SPEECH

NEURAL CODING OF SPEECH
语音神经编码
批准号:
2014536
负责人:
Bertrand Delgutte
金额:
$18.11万
依托单位国家:
美国
项目类别:
财政年份:
1995
资助国家:
美国
项目状态:
已结题
起止时间:
1995-01-01 至 1999-12-31

项目摘要

项目成果

Bertrand Delgutte的其他基金

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中文摘要
翻译
语音是迄今为止人类最重要的一类声刺激 听众。而听觉神经中的语音编码相对 很好理解,一些信息可以用来研究耳蜗核 神经元,对更多中枢神经元的反应知之甚少 对言语刺激的反应。我们建议研究单个神经元的反应。 麻醉猫下丘(IC)对多种神经细胞的作用 包含声学特征的语音和语音类声音 在英语和其他语言中使用。一系列实验将 检查元音的共振峰频率和基频是如何 在IC神经元的放电模式中编码,使用合成刺激 这些参数在适当的范围内系统地变化 无论是男声还是女声。这些答复将与 用于正弦波语音和调幅音调的音频,以便 确定是否可以根据对元音的响应来预测对元音的响应 更简单的刺激。另一系列实验将研究对 在发音、位置和发音方式上不同的辅音。在……里面 特别是,我们将研究辅音的反应是如何受到 前面的上下文。这些回答将与以下情况进行比较 连续呈现的音调对,以确定是否 适应、促进和长效抑制等机制 增强对特定语音特征的响应。这项研究 解决语音感知中的基本问题,如神经基础 对于范畴知觉和语音的知觉不变性 在面对其声学特性中的上下文依赖性时。通过 提供对脑干中语音的神经编码的直接知识, 这项研究也可能有助于设计用于听觉(耳蜗)的语音处理器 和脑干)植入物,通过提供 为中枢听觉的特定部分适当编码的信息 系统。结合空间听觉的研究,这项工作可能会 也有助于更好地理解为什么听力受损和老年人 听者在听懂他们之间的演讲时有更大的困难 相互竞争的声音比正常的听众更多,这可能有助于开发新的类型 在嘈杂的环境中表现更好的助听器。
英文摘要
Speech is by far the most important class of acoustic stimuli for human listeners. While the coding of speech in the auditory nerve is relatively well understood, and some information is available for cochlear-nucleus neurons, very little is known about the responses of more central neurons to speech stimuli. We propose to study the responses of single neurons in the inferior colliculus (IC) of anesthetized cats to a wide variety of speech and speech-like sounds encompassing the acoustic characteristics used in English and other languages. One series of experiments will examine how the formant frequencies and fundamental frequency of vowels are coded in the discharge patterns of IC neurons, using synthetic stimuli in which these parameters ar systematically varied over a range appropriate for both male and female voices. These responses will be compared with those for sine-wave speech and amplitude-modulated tones in order to determine whether responses to vowels can be predicted from responses to simpler stimuli. Another series of experiments will study the responses to consonants differing in voicing, place, and manner of articulation. In particular, we will examine how the responses to consonants are affected by the preceding context. These responses will be compared with those to pairs of tones presented in succession in order to determine whether mechanisms such as adaptation, facilitation and long-lasting inhibition enhance the response to particular speech features. This research addresses fundamental issues in speech perception such as the neural basis for categorical perception, and the perceptual invariance of speech sounds in the face of context-dependence in their acoustic characteristics. By providing direct knowledge of the neural coding of speech in the brainstem, this research may also help design speech processors for auditory (cochlear and brainstem) implants that would be more effective by providing information appropriately coded for specific parts of the central auditory system. In combination with research on spatial hearing, this work may also lead to a better understanding of why hearing-impaired and elderly listeners have much greater difficulties understanding speech among competing sounds than do normal listeners, and may help develop new kinds of hearing aids that would perform better in noisy environments.
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