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Computational Modeling of an Auditory Lexical Decision Experiment Using DIANA.

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, activat...

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Published in:Language & Speech Vol. 66; no. 3; pp. 564 - 606
Main Authors: Nenadić, Filip, Tucker, Benjamin V., ten Bosch, Louis
Format: equations & formulas research tables/charts Journal Article
Published: Sage Publications Inc. Sep2023
Online Access:View this record in EBSCOhost
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      dt: Sep2023
      vid: 66
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      pub: Sage Publications Inc.
      place: Thousand Oaks, California
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        atl: Computational Modeling of an Auditory Lexical Decision Experiment Using DIANA.
      aug:
        au:
          Nenadić, Filip
          Tucker, Benjamin V.
          ten Bosch, Louis
        affil: University of Alberta, Canada
      sug:
        subj:
          Decision Making Evaluation
          Auditory Perception
          Language Processing
          Task Performance and Analysis
          Computer Simulation
          Human
          Female
          Male
          Acoustics
          Speech Acoustics
          Language Development
          Speech Perception
          Speech Intelligibility
          Validity
          Linguistics
          T-Tests
          Correlation Coefficient
          Descriptive Statistics
          Funding Source
          Simulations
          Female
          Male
      ab: 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 that DIANA performs fairly well in free word recognition and lexical decision. However, the current approach for estimating response latency provides estimates opposite to those found in behavioral data. We discuss these findings and offer suggestions as to what a contemporary model of spoken word recognition should be able to do.
      pubtype: Academic Journal
      doctype:
        equations & formulas
        research
        tables/charts
        Journal Article
      ougenre: Article
    language: English
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