This decommissioned ERA site remains active temporarily to support our final migration steps to https://ualberta.scholaris.ca, ERA's new home. All new collections and items, including Spring 2025 theses, are at that site. For assistance, please contact erahelp@ualberta.ca.
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
- 3Benjamin V. Tucker
- 3Filip Nenadić
- 3Tucker, Benjamin V.
- 2Kelley, Matthew C.
- 2Nenadić, Filip
- 1Elnaz Shafaei-Bajestan
-
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...
-
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.
-
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.
-
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.