课题基金 / 基金详情

SPEECH PATTERN RECOGNITION IN ELECTRIC HEARING

SPEECH PATTERN RECOGNITION IN ELECTRIC HEARING
电听觉中的语音模式识别
批准号:
6043418
负责人:
Qian-Jie Fu
金额:
$5.34万
依托单位:
依托单位国家:
美国
项目类别:
财政年份:
1998
资助国家:
美国
项目状态:
已结题
起止时间:
1998-08-01 至 2001-07-31

项目摘要

项目成果

Qian-Jie Fu的其他基金

相关文献

中文摘要
翻译
虽然多通道人工耳蜗已经取得了很大的成功,但是
英文摘要
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.
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Frequency mismatch and spectral integration in acoustic and electric hearing
Frequency mismatch and spectral integration in acoustic and electric hearing
Integration of acoustic and electric hearing within or across ears
Integration of acoustic and electric hearing within or across ears