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人工耳蜗使用者的音素辨别:与失配负波相比的主观测试

Logatome discrimination in cochlear implant users: subjective tests compared to the mismatch negativity.

作者信息

Rahne Torsten, Ziese Michael, Rostalski Dorothea, Mühler Roland

机构信息

Department of Otolaryngology, Martin-Luther-University Halle-Wittenberg, Germany.

出版信息

ScientificWorldJournal. 2010 Feb 19;10:329-39. doi: 10.1100/tsw.2010.28.

Abstract

This paper describes a logatome discrimination test for the assessment of speech perception in cochlear implant users (CI users), based on a multilingual speech database, the Oldenburg Logatome Corpus, which was originally recorded for the comparison of human and automated speech recognition. The logatome discrimination task is based on the presentation of 100 logatome pairs (i.e., nonsense syllables) with balanced representations of alternating "vowel-replacement" and "consonant-replacement" paradigms in order to assess phoneme confusions. Thirteen adult normal hearing listeners and eight adult CI users, including both good and poor performers, were included in the study and completed the test after their speech intelligibility abilities were evaluated with an established sentence test in noise. Furthermore, the discrimination abilities were measured electrophysiologically by recording the mismatch negativity (MMN) as a component of auditory event-related potentials. The results show a clear MMN response only for normal hearing listeners and CI users with good performance, correlating with their logatome discrimination abilities. Higher discrimination scores for vowel-replacement paradigms than for the consonant-replacement paradigms were found. We conclude that the logatome discrimination test is well suited to monitor the speech perception skills of CI users. Due to the large number of available spoken logatome items, the Oldenburg Logatome Corpus appears to provide a useful and powerful basis for further development of speech perception tests for CI users.

摘要

本文介绍了一种用于评估人工耳蜗使用者(CI使用者)言语感知能力的音节辨别测试,该测试基于一个多语言语音数据库——奥尔登堡音节语料库,该语料库最初是为比较人类和自动语音识别而录制的。音节辨别任务基于100对音节(即无意义音节)的呈现,这些音节在“元音替换”和“辅音替换”范式的交替表示上保持平衡,以评估音素混淆情况。13名正常听力的成年听众和8名成年CI使用者(包括表现好和表现差的)参与了这项研究,并在通过既定的噪声句子测试评估了他们的言语可懂度能力后完成了测试。此外,通过记录失配负波(MMN)作为听觉事件相关电位的一个成分,从电生理学角度测量了辨别能力。结果表明,只有正常听力的听众和表现良好的CI使用者出现了明显的MMN反应,这与他们的音节辨别能力相关。研究发现,元音替换范式的辨别分数高于辅音替换范式。我们得出结论,音节辨别测试非常适合监测CI使用者的言语感知技能。由于有大量可用的口语化音节项目,奥尔登堡音节语料库似乎为进一步开发CI使用者的言语感知测试提供了一个有用且强大的基础。

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