使用和不使用额外降噪预处理的Spectra 22在噪声中的性能比较

V. Margo, Christopher Schweitzer, Gail Feinman
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引用次数: 17

摘要

本文描述了一种双麦克风、软件可编程的降噪设备,该设备与Nucleus Spec tra 22语音处理器接口,作为前端降噪预处理器。便携式处理器和降噪算法(更正式的名称是波束成形)的开发,最初是由使用助听器的个人的抱怨引起的。这些人抱怨说,随着背景噪音的增加,他们的表现会变差。既然使用人工耳蜗的人也有类似的抱怨,那么自然就会提出这样一个问题:“如果有的话,波束形成算法会给使用人工耳蜗的人带来什么好处?”为了找到答案,我们对降噪装置的音频输入接口进行了修改(使其与Nu cleus Spectra 22语音处理器兼容),并进行了一组前期的受试者实验。1前期研究针对的是由Cochlear corporation和Cochlear Limited生产的Nucleus 22通道人工耳蜗和Spectra 22语音处理传感器。在前期研究中使用的降噪设备被称为Alpha II,由AudioLogic公司开发。11名说英语的受试者参加了一系列的测试,在此期间,他们用自己的Spectra 22语音处理器和Alpha II波束形成算法对他们设备的输入数据进行预处理。波束形成
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Comparisons of Spectra 22 Performance in Noise with and without an Additional Noise Reduction Preprocessor
This paper describes a two-microphone, software-programmable noise-reduction de vice that was interfaced to the Nucleus Spec tra 22 speech processor to act as a front-end noise-reduction preprocessor. The develop ment for the portable processor and the noise-reduction algorithm, more formally known as beamforming, was originally moti vated by complaints from individuals who use hearing aids. These individuals com plain about a deterioration in performance with increasing levels of background noise. Since individuals who use cochlear implants have similar complaints, it was a natural ex tension to pose the question: "What benefit, if any, would the beamforming algorithm provide to individuals who use cochlear im plants?" To arrive at an answer, the audio in terface to the noise reduction device was modified (to make it compatible to the Nu cleus Spectra 22 speech processor), and a set of precursory subject experiments were per formed. 1 The precursory studies were spe cific to the Nucleus 22 Channel Cochlear Implant and the Spectra 22 speech proces sor, both manufactured by Cochlear Corpo ration and Cochlear Limited. The noise-reduction device used in the precursory studies is known as the Alpha II and is devel oped by AudioLogic Inc. Eleven English-speaking subjects par ticipated in a series of sessions during which they were tested with their own Spectra 22 speech processor and with the Alpha II beam-forming algorithm acting to preprocess the input data to their device. The beamform ing
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