Recognizing Spoken Words: The Neighborhood Activation Model

dc.contributor.authorLuce, Paul A.
dc.contributor.authorPisoni, David B.
dc.contributor.departmentOtolaryngology -- Head and Neck Surgery, School of Medicine
dc.date.accessioned2025-03-06T15:31:24Z
dc.date.available2025-03-06T15:31:24Z
dc.date.issued1998
dc.description.abstractObjective: A fundamental problem in the study of human spoken word recognition concerns the structural relations among the sound patterns of words in memory and the effects these relations have on spoken word recognition. In the present investigation, computational and experimental methods were employed to address a number of fundamental issues related to the representation and structural organization of spoken words in the mental lexicon and to lay the groundwork for a model of spoken word recognition. Design: Using a computerized lexicon consisting of transcriptions of 20,000 words, similarity neighborhoods for each of the transcriptions were computed. Among the variables of interest in the computation of the similarity neighborhoods were: 1) the number of words occurring in a neighborhood, 2) the degree of phonetic similarity among the words, and 3) the frequencies of occurrence of the words in the language. The effects of these variables on auditory word recognition were examined in a series of behavioral experiments employing three experimental paradigms: perceptual identification of words in noise, auditory lexical decision, and auditory word naming. Results: The results of each of these experiments demonstrated that the number and nature of words in a similarity neighborhood affect the speed and accuracy of word recognition. A neighborhood probability rule was developed that adequately predicted identification performance. This rule, based on Luce's (1959) choice rule, combines stimulus word intelligibility, neighborhood confusability, and frequency into a single expression. Based on this rule, a model of auditory word recognition, the neighborhood activation model, was proposed. This model describes the effects of similarity neighborhood structure on the process of discriminating among the acoustic-phonetic representations of words in memory. The results of these experiments have important implications for current conceptions of auditory word recognition in normal and hearing impaired populations of children and adults.
dc.eprint.versionAuthor's manuscript
dc.identifier.citationLuce PA, Pisoni DB. Recognizing spoken words: the neighborhood activation model. Ear Hear. 1998;19(1):1-36. doi:10.1097/00003446-199802000-00001
dc.identifier.urihttps://hdl.handle.net/1805/46253
dc.language.isoen_US
dc.publisherWolters Kluwer
dc.relation.isversionof10.1097/00003446-199802000-00001
dc.relation.journalEar and Hearing
dc.rightsPublisher Policy
dc.sourcePMC
dc.subjectMemory
dc.subjectSpeech perception
dc.subjectDecision making
dc.subjectLanguage
dc.subjectPhonetics
dc.subjectReaction time
dc.subjectVocabulary
dc.titleRecognizing Spoken Words: The Neighborhood Activation Model
dc.typeArticle
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