2026-10-09T18:42:05Z https://api.figshare.com/v2/oai

oai:figshare.com:article/34027662 2026-09-29T21:06:33Z category_30385 category_30388 category_28849 category_28846 item_type_1 month_year_09_2026

Timecourse of phonological competition in causal and non-causal transformer models of speech processing James Magnuson (4819524) Psycholinguistics (incl. speech production and comprehension) Sensory processes, perception and performance Natural language processing Modelling and simulation SPOKEN WORD RECOGNITION <p dir="ltr">Activation of targets (e.g., beaker), cohorts (e.g., beetle), rhymes (e.g., speaker), and unrelated words (e.g., carriage) in causal (sequential processing, only access to current and past speech signal) and non-causal (sequential processing but with access to past, current, and future speech signal) transformer models of speech processing. The causal model exhibits the primary characteristics of human phonological competition: activations are driven by current signal information, cohorts and rhymes have higher activation than unrelated words, and cohorts activate and peak earlier than rhymes. The non-causal model exhibits a timecourse very dissimilar to that of humans. Replotted from Peng, L. et al., Interspeech, 2026. </p> 2026-09-29T21:06:33Z Image Figure 10.6084/m9.figshare.34027662.v1 https://figshare.com/articles/figure/Timecourse_of_phonological_competition_in_causal_and_non-causal_transformer_models_of_speech_processing/34027662 CC BY 4.0