As we write, Nearey & Assmann's PSTM presents a "groundbreaking idea [...], with far-reaching consequences for research from typology to sociolinguistics to speech perception … and few seem to know of it." We hope this paper can help change that! OSF osf.io/tpwmv/ 3/3

Nearey & Assmann's PSTM (2007, www.google.com/books/editio...) remains the only fully incremental model of formant normalization, conducting joint inference over both the talker's normalization parameters (*who*'s talking) and the vowel category (*what* they are saying). 2/3

DL captures human speech perception both *qualitatively* & *quantitatively* (R2>96%) for over 400 combinations of exposure and test items. Yet, previous DL models fail to capture important limitations. Specifically, we find that DL seems to proceed by remixing prev experience 2/2

This has been a really eye-opening collaboration that made me realize how little I knew about the auditory system, the normalization of spectral information, & the consequences of making problematic assumptions about the perceptual basis of speech perception when building (psycho)linguistic models!

This is the final paper from Anna Persson's thesis (www.researchgate.net/profile/Anna...) w/ Santiago Barreda (linguistics.ucdavis.edu/people/santi...).

Article & SI fully written in #rmarkdown. All data, experiment code, & analyses available on OSF osf.io/zemwn/ #reproducibility

Together w/ @wbushong.bsky.social's recent paper bsky.app/profile/wbus..., this lays out the road ahead for careful research on information maintenance during speech perception. The discussion in Wednesday's paper identifies strong assumptions made in this line of work that might not be warranted.

Data and code available on OSF osf.io/cypg3/

All experiment code, analyses, and trial-level data available on OSF osf.io/6fng2/.

By comparing against ideal observer baselines, we identify a reliable, previously unrecognized pattern in listeners' responses that is unexpected under any existing theory. We present simulations that suggest that this pattern can emerge under ideal information maintenance w/ attentional lapses. 3/n

We present Bayesian GLMMs, ideal observer analyses, two re-analyses of previous studies and two new experiments. All data clearly reject the idea that uncertainty maintenance during speech perception is limited to ambiguous inputs or short-lived. 2/n

@uor-braincogsci.bsky.social

We also revisits long-held assumptions about how we study the maintenance of perceptual information during spoken language understanding. We discuss why most evidence for such maintenance is actually compatible with simpler explanations. 2/2

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