Suppr超能文献

对正常和听力受损听众的邻域激活理论的检验。

Examination of the neighborhood activation theory in normal and hearing-impaired listeners.

作者信息

Dirks D D, Takayanagi S, Moshfegh A, Noffsinger P D, Fausti S A

机构信息

National Center for Rehabilitative Auditory Research, Veterans Administration Medical Center, Portland, Oregon, USA.

出版信息

Ear Hear. 2001 Feb;22(1):1-13. doi: 10.1097/00003446-200102000-00001.

Abstract

OBJECTIVE

Experiments were conducted to examine the effects of lexical information on word recognition among normal hearing listeners and individuals with sensorineural hearing loss. The lexical factors of interest were incorporated in the Neighborhood Activation Model (NAM). Central to this model is the concept that words are recognized relationally in the context of other phonemically similar words. NAM suggests that words in the mental lexicon are organized into similarity neighborhoods and the listener is required to select the target word from competing lexical items. Two structural characteristics of similarity neighborhoods that influence word recognition have been identified; "neighborhood density" or the number of phonemically similar words (neighbors) for a particular target item and "neighborhood frequency" or the average frequency of occurrence of all the items within a neighborhood. A third lexical factor, "word frequency" or the frequency of occurrence of a target word in the language, is assumed to optimize the word recognition process by biasing the system toward choosing a high frequency over a low frequency word.

DESIGN

Three experiments were performed. In the initial experiments, word recognition for consonant-vowel-consonant (CVC) monosyllables was assessed in young normal hearing listeners by systematically partitioning the items into the eight possible lexical conditions that could be created by two levels of the three lexical factors, word frequency (high and low), neighborhood density (high and low), and average neighborhood frequency (high and low). Neighborhood structure and word frequency were estimated computationally using a large, on-line lexicon-based Webster's Pocket Dictionary. From this program 400 highly familiar, monosyllables were selected and partitioned into eight orthogonal lexical groups (50 words/group). The 400 words were presented randomly to normal hearing listeners in speech-shaped noise (Experiment 1) and "in quiet" (Experiment 2) as well as to an elderly group of listeners with sensorineural hearing loss in the speech-shaped noise (Experiment 3).

RESULTS

The results of three experiments verified predictions of NAM in both normal hearing and hearing-impaired listeners. In each experiment, words from low density neighborhoods were recognized more accurately than those from high density neighborhoods. The presence of high frequency neighbors (average neighborhood frequency) produced poorer recognition performance than comparable conditions with low frequency neighbors. Word frequency was found to have a highly significant effect on word recognition. Lexical conditions with high word frequencies produced higher performance scores than conditions with low frequency words.

CONCLUSION

The results supported the basic tenets of NAM theory and identified both neighborhood structural properties and word frequency as significant lexical factors affecting word recognition when listening in noise and "in quiet." The results of the third experiment permit extension of NAM theory to individuals with sensorineural hearing loss. Future development of speech recognition tests should allow for the effects of higher level cognitive (lexical) factors on lower level phonemic processing.

摘要

目的

开展实验以检验词汇信息对正常听力听众和感音神经性听力损失个体单词识别的影响。感兴趣的词汇因素被纳入邻域激活模型(NAM)。该模型的核心概念是,单词是在其他语音相似单词的语境中通过关系进行识别的。NAM表明,心理词典中的单词被组织成相似邻域,听众需要从相互竞争的词汇项中选择目标单词。已确定影响单词识别的相似邻域的两个结构特征;“邻域密度”,即特定目标项目的语音相似单词(邻词)数量,以及“邻域频率”,即邻域内所有项目的平均出现频率。第三个词汇因素“单词频率”,即目标单词在语言中的出现频率,被认为通过使系统倾向于选择高频词而非低频词来优化单词识别过程。

设计

进行了三项实验。在最初的实验中,通过将项目系统地划分为由三个词汇因素(单词频率(高和低)、邻域密度(高和低)以及平均邻域频率(高和低))的两个水平所创建的八种可能的词汇条件,对年轻正常听力听众的辅音 - 元音 - 辅音(CVC)单音节词的单词识别进行评估。使用基于网络词典的大型在线词典通过计算估计邻域结构和单词频率。从该程序中选择400个非常熟悉的单音节词,并将其划分为八个正交词汇组(每组50个单词)。这400个单词以语音状噪声(实验1)和“安静环境”(实验2)随机呈现给正常听力听众,以及以语音状噪声呈现给一组老年感音神经性听力损失听众(实验3)。

结果

三项实验的结果验证了NAM在正常听力和听力受损听众中的预测。在每个实验中,来自低密度邻域的单词比来自高密度邻域的单词识别得更准确。高频邻词(平均邻域频率)的存在比低频邻词的可比条件产生了更差的识别性能。发现单词频率对单词识别有非常显著的影响。高单词频率的词汇条件比低频率单词的条件产生更高的性能分数。

结论

结果支持了NAM理论的基本信条,并确定邻域结构属性和单词频率都是在噪声环境和“安静环境”中听力时影响单词识别的重要词汇因素。第三个实验的结果允许将NAM理论扩展到感音神经性听力损失个体。语音识别测试的未来发展应考虑更高层次认知(词汇)因素对较低层次音素处理的影响。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验