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.
Download full-text PDF |
Source |
|---|---|
| http://dx.doi.org/10.3758/s13428-018-1056-1 | DOI Listing |
Publication Analysis
Top Keywords
Similar Publications
Neural Dynamics of the Processing of Speech Features: Evidence for a Progression of Features from Acoustic to Sentential Processing.
J Neurosci
January 2025
Department of Electrical and Computer Engineering, University of Maryland, College Park, MD, 20742
When we listen to speech, our brain's neurophysiological responses "track" its acoustic features, but it is less well understood how these auditory responses are enhanced by linguistic content. Here, we recorded magnetoencephalography (MEG) responses while subjects of both sexes listened to four types of continuous-speech-like passages: speech-envelope modulated noise, English-like non-words, scrambled words, and a narrative passage. Temporal response function (TRF) analysis provides strong neural evidence for the emergent features of speech processing in cortex, from acoustics to higher-level linguistics, as incremental steps in neural speech processing.
View Article and Find Full Text PDFSimulating Early Phonetic and Word Learning Without Linguistic Categories.
Dev Sci
March 2025
Laboratoire de Sciences Cognitives et de Psycholinguistique, Département d'Études Cognitives, ENS, EHESS, CNRS, PSL University, Paris, France.
Before they even talk, infants become sensitive to the speech sounds of their native language and recognize the auditory form of an increasing number of words. Traditionally, these early perceptual changes are attributed to an emerging knowledge of linguistic categories such as phonemes or words. However, there is growing skepticism surrounding this interpretation due to limited evidence of category knowledge in infants.
View Article and Find Full Text PDFSemantic Integration Demands Modulate Large-Scale Network Interactions in the Brain.
Hum Brain Mapp
December 2024
Research Group Cognition and Plasticity, Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany.
The ability to integrate semantic information into the context of a sentence is essential for human communication. Several studies have shown that the predictability of a final keyword based on the sentence context influences semantic integration on the behavioral, neurophysiological, and neural level. However, the architecture of the underlying network interactions for semantic integration across the lifespan remains unclear.
View Article and Find Full Text PDFEncoding and establishing a new second-language (L2) phonological category is notoriously difficult. This is particularly true for phonological contrasts that do not exist in the learners' native language (L1). Phonological categories that also exist in the L1 do not seem to pose any problems.
View Article and Find Full Text PDFThe role of inhibitory control in spoken word recognition: Evidence from cochlear implant users.
Lang Cogn Neurosci
June 2024
Department of Psychological & Brain Sciences, Department of Communication Sciences & Disorders, Department of Otolaryngology - Head and Neck Surgery, Department of Linguistics, University of Iowa.
During word recognition, listeners must quickly map sounds to meaning, while suppressing similar sounding competitors. It remains an open question whether domain-general inhibitory control is recruited for resolving lexical competition. Cochlear implant (CI) users present a unique population for addressing this question because they are consistently confronted with degraded auditory input, and therefore may need to rely on domain-general mechanisms to compensate.
View Article and Find Full Text PDFWant AI Summaries of new PubMed Abstracts delivered to your In-box?
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!