Computational Modeling of an Auditory Lexical Decision Experiment Using DIANA.

ABSTRACT: We present an implementation of DIANA, a computational model of spoken word recognition, to model responses collected in the Massive Auditory Lexical Decision (MALD) project. DIANA is an end-to-end model, including an activation and decision component that takes the acoustic signal as input, activates internal word representations, and outputs lexicality judgments and estimated response latencies. Simulation 1 presents the process of creating acoustic models required by DIANA to analyze novel speech input. Simulation 2 investigates DIANA's performance in determining whether the input signal is a word present in the lexicon or a pseudoword. In Simulation 3, we generate estimates of response latency and correlate them with general tendencies in participant responses in MALD data. We find tha

SUBMITTER: Nenadic F 

PROVIDER: S-EPMC10394956 | biostudies-literature | 2023 Sep

REPOSITORIES: biostudies-literature