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首页> 外文期刊>Ear and hearing. >Modeling spoken word recognition performance by pediatric cochlear implant users using feature identification.
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Modeling spoken word recognition performance by pediatric cochlear implant users using feature identification.

机译:使用特征识别对小儿人工耳蜗植入用户的口语单词识别性能进行建模。

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摘要

OBJECTIVE: Computational simulations were carried out to evaluate the appropriateness of several psycholinguistic theories of spoken word recognition for children who use cochlear implants. These models also investigate the interrelations of commonly used measures of closed-set and open-set tests of speech perception. DESIGN: A software simulation of phoneme recognition performance was developed that uses feature identification scores as input. Two simulations of lexical access were developed. In one, early phoneme decisions are used in a lexical search to find the best matching candidate. In the second, phoneme decisions are made only when lexical access occurs. Simulated phoneme and word identification performance was then applied to behavioral data from the Phonetically Balanced Kindergarten test and Lexical Neighborhood Test of open-set word recognition. Simulations of performance were evaluated for children with prelingual sensorineural hearing loss who use cochlear implants with the MPEAK or SPEAK coding strategies. RESULTS: Open-set word recognition performance can be successfully predicted using feature identification scores. In addition, we observed no qualitative differences in performance between children using MPEAK and SPEAK, suggesting that both groups of children process spoken words similarly despite differences in input. Word recognition ability was best predicted in the model in which phoneme decisions were delayed until lexical access. CONCLUSIONS: Closed-set feature identification and open-set word recognition focus on different, but related, levels of language processing. Additional insight for clinical intervention may be achieved by collecting both types of data. The most successful model of performance is consistent with current psycholinguistic theories of spoken word recognition. Thus it appears that the cognitive process of spoken word recognition is fundamentally the same for pediatric cochlear implant users and children and adults with normal hearing.
机译:目的:进行了计算机模拟,以评估几种心理语言学理论对使用人工耳蜗的儿童的口语识别能力的适用性。这些模型还研究了语音感知的封闭式和开放式测试的常用度量的相互关系。设计:开发了一个音素识别性能的软件仿真,该仿真使用功能识别分数作为输入。开发了两种词汇访问模拟。其中之一是,在词法搜索中使用早期音素决策来找到最佳匹配候选者。在第二种方法中,仅当词汇访问发生时才做出音素决策。然后将模拟的音素和单词识别性能应用于开放式单词识别的语音均衡幼儿园测试和词法邻域测试的行为数据。对于使用MPEAK或SPEAK编码策略的人工耳蜗的舌前感音神经性听力下降的儿童,对他们的表现进行了评估。结果:使用特征识别分数可以成功预测开放集单词识别性能。此外,我们观察到使用MPEAK和SPEAK的儿童在表现上没有质的差异,这表明尽管输入有所不同,两组儿童的口语处理相似。在将音素决策延迟到词法访问之前的模型中,可以最好地预测单词识别能力。结论:封闭式特征识别和开放式单词识别专注于不同但相关的语言处理级别。通过收集两种类型的数据,可以获得对临床干预的更多见解。最成功的表现模型与当前的口语单词识别心理语言学理论相一致。因此,对于儿童人工耳蜗植入者以及听力正常的儿童和成年人来说,语音识别的认知过程似乎基本相同。

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