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Skip to Search Results- 13spoken word recognition
- 6phonetics
- 4MALD
- 4acoustic distance
- 4auditory lexical decision task
- 4psycholinguistics
- 13Linguistics, Department of
- 6Linguistics, Department of/Massive Auditory Lexical Decision (MALD) Database
- 3Linguistics, Department of/Presentations (Linguistics)
- 2Linguistics, Department of/Research Materials (Linguistics)
- 1Linguistics, Department of/Research Publications (Linguistics)
- 1Linguistics, Department of/Mental Lexicon 2018
- 9Benjamin V. Tucker
- 6Matthew C. Kelley
- 4Filip Nenadić
- 3Tucker, Benjamin V.
- 2Kelley, Matthew C.
- 2Nenadić, Filip
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Acoustic absement files
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...
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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...
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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...
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DIANA simulations material
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.
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Discriminative lexicon simulations material
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.
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How acoustic distinctiveness affects spoken word recognition: A pilot study
2018-09-01
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...
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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....
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jTRACE/TISK simulations material
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.
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2017-10-20
Matthew C. Kelley, Benjamin V. Tucker
bBoiA sizable number of phonetic and psycholinguistic experiments have been conducted to investigate the recognition of real words. From this work, researchers have found that various characteristics of lexical items affect the recognition process, such as lexical frequency, phonotactic...