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Massive Auditory Lexical Decision (MALD) Database
The Massive Auditory Lexical Decision (MALD) database is an end-to-end, freely available auditory and production data set for speech and psycholinguistic research, providing time-aligned stimulus recordings for over 26,000 words and 9,500 pseudowords, and response data for auditory lexical decisions. The data set is meant to make it easy to explore, build and test theories, and compare a wide range of models.
Items in this Collection
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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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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.