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采用CIS策略的Ineraid多通道人工耳蜗的语音识别。

Speech recognition with a CIS strategy for the ineraid multichannel cochlear implant.

作者信息

Boëx C, Pelizzone M, Montandon P

机构信息

Department of Otolaryngology-Head and Neck Surgery, Cantonal University Hospital, Geneva, Switzerland.

出版信息

Am J Otol. 1996 Jan;17(1):61-8.

PMID:8694136
Abstract

Wilson et al. proposed a new sound-processing strategy for multichannel cochlear implants, the Continuous Interleaved Sampling (CIS) strategy. Their study was performed on seven American patients, selected for their excellent performance with the Ineraid multichannel cochlear implant, and involved refined testing of several parameter modifications of the CIS strategy during a 1-week period. At the end of the week, the CIS strategy produced large improvements in speech-recognition tests for all subjects. To evaluate the generality of this promising result, the goal of this study was to assess whether similar improvements of performance could be observed in a typical population of Ineraid users and implemented as a clinical protocol. Therefore we designed one unique, predetermined CIS processor that could be temporarily fitted to the patients in < 2 h, and we evaluated speech recognition with consonant-and vowel-identification tests in a group of patients with performances ranging from star to almost chance levels and speaking six different native languages. Scores of vowel and consonant identifications obtained with this predetermined CIS processor and with the standard processor of the Ineraid system were compared in 15 Ineraid users. Fourteen of 15 patients had significantly better scores of consonant identification with the new CIS strategy. The group mean scores of vowel identification with either strategy were not statistically different. In agreement with these observations, most patients immediately reported that the CIS strategy sounded subjectively "more clear" for real-time speech recognition. It is now possible to implement a CIS speech-coding strategy as a standard clinical procedure to improve speech-recognition performances of all Ineraid users.

摘要

威尔逊等人提出了一种用于多通道人工耳蜗的新声音处理策略,即连续交错采样(CIS)策略。他们对七名美国患者进行了研究,这些患者因使用Ineraid多通道人工耳蜗表现出色而被选中,研究涉及在为期1周的时间内对CIS策略的几个参数修改进行精细测试。在这一周结束时,CIS策略在所有受试者的语音识别测试中都产生了大幅提升。为了评估这一有前景结果的普遍性,本研究的目标是评估在Ineraid用户的典型群体中是否能观察到类似的性能提升,并将其作为临床方案实施。因此,我们设计了一种独特的、预先确定的CIS处理器,它可以在不到2小时的时间内临时安装到患者身上,并且我们在一组表现从优秀到几乎随机水平、说六种不同母语的患者中,通过辅音和元音识别测试来评估语音识别。在15名Ineraid用户中比较了使用这种预先确定的CIS处理器和Ineraid系统的标准处理器获得的元音和辅音识别分数。15名患者中有14名在使用新的CIS策略时辅音识别分数显著更高。两种策略下的元音识别组平均分数在统计学上没有差异。与这些观察结果一致,大多数患者立即报告说,对于实时语音识别,CIS策略在主观上听起来“更清晰”。现在有可能将CIS语音编码策略作为一种标准临床程序来提高所有Ineraid用户的语音识别性能。

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