Massive Auditory Lexical Decision

Here you can find information and the data sets for the Massive Auditory Lexical Decision Project. Currently, we have made available the data from MALD1v1, this version is the version of the data reported in our Behavior Research Methods paper. For each of the data files, you can download either a tab-delimited text file or an R data file. The audio files with force-aligned segmentation can also be downloaded (the TextGrid files and audio can be opened using Praat).

MALD1v1
All data: TXT   Rdata
Response data: TXT   Rdata
Item data: TXT   Rdata
Subject data: TXT   Rdata
Audio Files:  Words   Pseudowords
TextGrids: Words   Pseudowords

This research was funded by Social Sciences and Humanities Research Council Grant #435-2014-0678 and by a University of Alberta Killam Research Grant.

Recent Papers and Talks:
Nenadić, F. & Tucker, B. V. (2020). Computational modelling of an auditory lexical decision experiment using jTRACE and TISK. Language, Cognition and Neuroscience.
Nenadic, F., Kelley, M. C., Podlubny, R. G., & Tucker, B. V. (2019). Speech Perception and The Role of Semantic Richness in Processing. Canadian Acoustics, 47(3), 96-97.
Morphological Processing 2019 (Investigating morphological processing using the MALD database: A megastudy of auditory lexical decision)
Ford, C., Nenadić, F., Brenner, D., & Tucker, B. V. (2019). Shorter phone duration facilitates isolated spoken word recognition. Proceedings of The 11th International Conference on the Mental Lexicon, 1, e059.
Lorentzen, P., Nenadić, F., Kelley, M. C., & Tucker, B. V. (2019). Massive auditory lexical decision: Investigating performance in noisy environments. Proceedings of The 11th International Conference on the Mental Lexicon, 1, e127.
Nenadić, F. & Tucker, B. V. (2019). Computational modeling of an auditory lexical decision task using jTRACE. Proceedings of The 11th International Conference on the Mental Lexicon, 1, e123.
Tucker, B.V., Brenner, D., Danielson, D.K., Kelley, M.C., Nenadić, F., Sims, M.N. (2019). The Massive Auditory Lexical Decision Database. Behavior Research Methods. 51(3), 1187–1204.
Schmidtke, D., Gagné, C. L., Kuperman, V., Spalding, T. L., & Tucker, B. V. (2018). Conceptual relations compete during auditory and visual compound word recognition. Language, Cognition and Neuroscience.