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人工耳蜗实现更佳的语音识别。

Better speech recognition with cochlear implants.

作者信息

Wilson B S, Finley C C, Lawson D T, Wolford R D, Eddington D K, Rabinowitz W M

机构信息

Neuroscience Program, Research Triangle Institute, Research Triangle Park, North Carolina 27709.

出版信息

Nature. 1991 Jul 18;352(6332):236-8. doi: 10.1038/352236a0.

Abstract

HIGH levels of speech recognition have been achieved with a new sound processing strategy for multielectrode cochlear implants. A cochlear implant system consists of one or more implanted electrodes for direct electrical activation of the auditory nerve, an external speech processor that transforms a microphone input into stimuli for each electrode, and a transcutaneous (rf-link) or percutaneous (direct) connection between the processor and the electrodes. We report here the comparison of the new strategy and a standard clinical processor. The standard compressed analogue (CA) processor presented analogue waveforms simultaneously to all electrodes, whereas the new continuous interleaved sampling (CIS) strategy presented brief pulses to each electrode in a nonoverlapping sequence. Seven experienced implant users, selected for their excellent performance with the CA processor, participated as subjects. The new strategy produced large improvements in the scores of speech reception tests for all subjects. These results have important implications for the treatment of deafness and for minimal representations of speech at the auditory periphery.

摘要

一种用于多电极人工耳蜗的新声音处理策略已实现了高水平的语音识别。人工耳蜗系统由一个或多个用于直接电刺激听神经的植入电极、一个将麦克风输入转换为每个电极刺激信号的外部语音处理器,以及处理器与电极之间的经皮(射频链接)或皮下(直接)连接组成。我们在此报告新策略与标准临床处理器的比较情况。标准压缩模拟(CA)处理器同时向所有电极呈现模拟波形,而新的连续交错采样(CIS)策略以不重叠的序列向每个电极呈现短脉冲。七名因使用CA处理器表现出色而被选中的经验丰富的植入用户作为受试者参与。新策略使所有受试者的言语接受测试分数大幅提高。这些结果对耳聋治疗以及听觉外周语音的最小表征具有重要意义。

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