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2021-01-01

Matthew C. Kelley, Benjamin V. Tucker

These files contain acoustic absement and acoustic distinctiveness calculations for the words in the Massive Auditory Lexical Decision database. These files accompany the "Using acoustic distance and acoustic absement to quantify lexical competition" article in the Journal of The Acoustical...

Spring 2022

Kelley, Matthew C.

It is common in linguistic analysis to treat words as strings of speech segments that are believed to be transduced from the speech signal. However, there are notable shortcomings with this approach, especially concerning word comparison. Principally, comparing speech segment strings does not...

2019-03-26

Filip Nenadić, Benjamin V. Tucker

The TRACE model of spoken word recognition has been widely discussed and used, but was never implemented to simulate the auditory lexical decision task, particularly on a larger number of items. In this study, we attempt to model accuracy and latency estimates and compare the obtained values to...

2020-05-12

Nenadić, Filip, Tucker, Benjamin V.

We present a series of computational simulations of the auditory lexical decision task using the jTRACE and TISK models of spoken word recognition. Simulation 1 replicates high accuracy in word recognition and similar performance of these models using the small, default dictionary. Simulation 2...

Fall 2020

Nenadić, Filip

The process of spoken word recognition has been an important topic in the field of psycholinguistics for decades. Numerous models have been created, many of which received their own computational implementation. However, large-scale simulations using these models performed on the same dataset by...

2020-04-28

Filip Nenadić, Benjamin V. Tucker, Louis ten Bosch

This material includes scripts and results of a series of simulations performed using DIANA on Massive Auditory Lexical Decision project data. Version date: 25.04.2022.

2020-06-09

Filip Nenadić, Benjamin V. Tucker, Elnaz Shafaei-Bajestan, Yu-Ying Chuang, R. Harald Baayen

This material includes scripts and results of a series of simulations performed using the discriminative lexicon approach on Massive Auditory Lexical Decision project data.

2018-09-01

Matthew C. Kelley

In the present study, I propose an acoustically-based alternative to phonological neighborhood density. Phonological neighborhood density has been used in many studies as an approximate quantification of lexical competition during spoken word recognition. However, phonological neighborhood...

2020-12-01

Matthew C. Kelley, Benjamin V. Tucker

Research on speech perception and lexical access often uses the activation and competition metaphor to describe the process of spoken word recognition. One way of expressing competition associated with a given word is its phonological neighborhood density, which is a calculation of similarity....

2019-11-11

Filip Nenadić, Benjamin V. Tucker

This material includes scripts and results of a series of simulations performed using jTRACE and TISK on Massive Auditory Lexical Decision project data.