KU-ArtLex: A single-speaker EMA database for modeling the articulatory structure of the lexicon

Charles Redmon, Seulgi Shin, and Panying Rong (2019)
Proceedings of the International Congress of Phonetic Sciences
Paper: pdf

Articulatory data (6-channel electro-magnetic articulography, EMA) was recorded on a 26,793-word database of English words – replicating the set used in the Massive Auditory Lexical Decision project – along with two repetitions of 1,200 controlled CVC syllables based on the California Syllable Test, from a single male native speaker of Midwestern American English. The primary aim of this database is to serve as a window on the articulatory structure of the lexicon; i.e., what gestural profiles distinguish words in English, and what constitutes minimality (how are minimal pairs defined, if at all) from an articulatory standpoint? Further, using this open-access database, comparable perception experiments testing the predictability of word recognition patterns from articulatory and acoustic profiles can now be run by multiple research groups, providing greater clarity to broader theoretical debates on the nature of the encoding of the speech signal.