Literature DB >> 29916041

The Massive Auditory Lexical Decision (MALD) database.

Benjamin V Tucker1, Daniel Brenner2, D Kyle Danielson3, Matthew C Kelley2, Filip Nenadić2, Michelle Sims2.   

Abstract

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 26,793 words and 9592 pseudowords, and response data for 227,179 auditory lexical decisions from 231 unique monolingual English listeners. In addition to the experimental data, we provide many precompiled listener- and item-level descriptor variables. This data set makes it easy to explore responses, build and test theories, and compare a wide range of models. We present summary statistics and analyses.

Keywords:  Auditory lexical decision; Megastudy; Spoken word recognition

Mesh:

Year:  2019        PMID: 29916041     DOI: 10.3758/s13428-018-1056-1

Source DB:  PubMed          Journal:  Behav Res Methods        ISSN: 1554-351X


  12 in total

1.  Conceptual relations compete during auditory and visual compound word recognition.

Authors:  Daniel Schmidtke; Christina L Gagné; Victor Kuperman; Thomas L Spalding; Benjamin V Tucker
Journal:  Lang Cogn Neurosci       Date:  2018-02-08       Impact factor: 2.331

2.  SCOPE: The South Carolina psycholinguistic metabase.

Authors:  Chuanji Gao; Svetlana V Shinkareva; Rutvik H Desai
Journal:  Behav Res Methods       Date:  2022-08-15

3.  Reorganization of the Neurobiology of Language After Sentence Overlearning.

Authors:  Jeremy I Skipper; Sarah Aliko; Stephen Brown; Yoon Ju Jo; Serena Lo; Emilia Molimpakis; Daniel R Lametti
Journal:  Cereb Cortex       Date:  2022-05-31       Impact factor: 4.861

4.  DIANA, a Process-Oriented Model of Human Auditory Word Recognition.

Authors:  Louis Ten Bosch; Lou Boves; Mirjam Ernestus
Journal:  Brain Sci       Date:  2022-05-23

5.  A naturalistic neuroimaging database for understanding the brain using ecological stimuli.

Authors:  Sarah Aliko; Jiawen Huang; Florin Gheorghiu; Stefanie Meliss; Jeremy I Skipper
Journal:  Sci Data       Date:  2020-10-13       Impact factor: 6.444

6.  Development and validation of a Chinese pseudo-character/non-character producing system.

Authors:  Li-Yun Chang; Chien-Chih Tseng; Charles A Perfetti; Hsueh-Chih Chen
Journal:  Behav Res Methods       Date:  2021-08-02

7.  Not just form, not just meaning: Words with consistent form-meaning mappings are learned earlier.

Authors:  Giovanni Cassani; Niklas Limacher
Journal:  Q J Exp Psychol (Hove)       Date:  2021-10-21       Impact factor: 2.138

8.  LADEC: The Large Database of English Compounds.

Authors:  Christina L Gagné; Thomas L Spalding; Daniel Schmidtke
Journal:  Behav Res Methods       Date:  2019-10

9.  The Neurostimulation of the Brain in Depression Trial: Protocol for a Randomized Controlled Trial of Transcranial Direct Current Stimulation in Treatment-Resistant Depression.

Authors:  Raheem Suleman; Benjamin V Tucker; Serdar M Dursun; Michael L Demas
Journal:  JMIR Res Protoc       Date:  2021-03-17

10.  The processing of pseudoword form and meaning in production and comprehension: A computational modeling approach using linear discriminative learning.

Authors:  Yu-Ying Chuang; Marie Lenka Vollmer; Elnaz Shafaei-Bajestan; Susanne Gahl; Peter Hendrix; R Harald Baayen
Journal:  Behav Res Methods       Date:  2021-06
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