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
- 18Tucker, Benjamin V.
- 4Benjamin V. Tucker
- 4Filip Nenadić
- 2Kelley, Matthew C.
- 2Louis ten Bosch
- 2Nenadić, Filip
- 10Massive Auditory Lexical Decision
- 6spoken word recognition
- 3Spoken Word Recognition
- 3auditory lexical decision task
- 3computational model
In recent years, computational modeling has proved to be an essential tool for investigating cognitive processes underlying speech perception (see, e.g., Scharenborg & Boves, 2010). Here we address the question of how an end-to-end computational model that uses the acoustic signal as input...
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...
Discriminative lexicon simulations material
This material includes scripts and results of a series of simulations performed using the discriminative lexicon approach on Massive Auditory Lexical Decision project data.
This is an updated version of the MALD dataset. This new dataset almost doubles the total number of participants in the dataset, providing more responses per item. We have also updated the item data set to include a calculation of the phonotactic probability of all words and pseudowords and the...