Cascading activation in phonological planning and articulation: Evidence from spontaneous speech errors

Alderete, John; Baese‐Berk, Melissa M.; Leung, Keith K. W.; Goldrick, Matthew

doi:10.1016/j.cognition.2020.104577

Cited by 13 publications

(3 citation statements)

References 31 publications

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“…Finally, recent research has examined the phonetic structure of sound blends in which the properties of the mis-selected target sound are reflected in the error sound ( Goldrick and Blumstein, 2006 ). Cantonese has several consonant series and vowel oppositions that are suitable for a similar kind of probe and can potentially add to the evidence that such phonetic blends occur in spontaneous speech ( Alderete et al, 2021 ) with data from a non-Indo-European language. In sum, access to the underlying acoustic record of the error opens up many new research possibilities.…”

Section: Future Plansmentioning

confidence: 99%

Simon Fraser University Speech Error Database (SFUSED) Cantonese: Methods, design, and usage

Alderete

2024

Front. Psychol.

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The Simon Fraser University Speech Error Database (SFUSED) is a multi-purpose database of speech errors based in audio recordings. The motivation for SFUSED Cantonese, a component of this database, is to create a linguistically rich data set for exploring language production processes in Cantonese, an under-studied language. We describe in detail the methods used to collect, analyze, and explore the database, including details of team workflows, time budgets, data quality, and explicit linguistic and processing assumptions. In addition to showing how to use the database, this account supports future research with a template for investigating additional under-studied languages, and it gives fresh perspective on the benefits and drawbacks of collecting speech error data from spontaneous speech. All of the data and supporting materials are available as open access data sets.

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Section: Future Plansmentioning

confidence: 99%

Simon Fraser University Speech Error Database (SFUSED) Cantonese: Methods, design, and usage

Alderete

2024

Front. Psychol.

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“…For one thing, the contamination of speech by irrelevant environmental language is well documented (Harley, 1984). For another, as evidenced by errors such as duke and duchess → duck and doochess, activation spreads across words competing for selection (Simonini, 1956; see also MacKay, 1970), and moreover, gradient errors rather than full substitutions are readily elicited in high-conflict situations such as speeded tongue-twister recitation (Frisch & Wright, 2002;Goldrick & Blumstein, 2006;Goldrick et al, 2016;Goldstein et al, 2007;Mowrey & MacKay, 1990), as well as in spontaneous speech (Alderete et al, 2021). However, the processes elicited in the current study were more consistent with an inhibitory mechanism that ultimately increases the acoustic distance between target and competitor.…”

Section: Cognitive Inhibition Enhances Acoustic Contrastmentioning

confidence: 99%

Inhibitory modulation of speech trajectories: Evidence from a vowel-modified Stroop task

Beach¹,

Niziolek²

2022

Preprint

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How does cognitive inhibition influence speaking? The Stroop effect is a classic demonstration of the interference between reading and color naming. We used a novel variant of the Stroop task to measure whether this interference impacts not only the response speed, but also the acoustic properties of speech. Speakers named the color of words in three categories: congruent (e.g., red written in red), color-incongruent (e.g., green written in red), and vowel-incongruent – those with partial phonological overlap with their color (e.g., rid in red, grain in green, and blow in blue). Our primary aim was to identify any effect of inhibiting the competitor vowel on the acoustics of the target vowel. Participants were no slower to respond on vowel-incongruent trials, but formant trajectories tended to show a bias away from the competitor vowel, increasing the acoustic contrast between spoken and inhibited words.

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“…For example, the voice onset time (VOT) of [p] produced in error (when [b] was intended) is slightly shorter (closer to [b]) than the VOT of non-errorful [p]. Such sub-phonemic differences in VOT, found in both lab-induced errors from tongue twisters (Goldrick & Blumstein, 2006) and naturally occurring speech errors (Alderete, Baese-Berk, Leung, & Goldrick, 2021) have been modeled as multiple inputs to a DNF representing VOT. Under selection dynamics, strong input from a voiceless stop (long VOT) and weaker input from voiced stop (short VOT) stabilize in a location that is slightly shifted towards the voiced stop, deriving the magnitude of empirically observed trace effects .…”

Section: Introductionmentioning

confidence: 99%

A dynamic neural field model of leaky prosody: proof of concept

Shaw

Tang

2023

AMP

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Recent work has shown that lexical items come to take on the phonetic characteristics of the prosodic environments in which they are typically produced, a phenomenon referred to as "leaky prosody". Focusing on pitch patterns in Mandarin, we show that leaky prosody can be derived from a flat (i.e., non-transformational, non-optimizing) model of speech production. Formalized using Dynamic Field Theory, in our model, lexical, phonological, and prosodic inputs each exert forces on a Dynamic Neural Field representing pitch. Notably, the forces exerted by these inputs reflect surface distributions in a large corpus of spontaneous speech. Our simulations showed that the flat model derives the short timescale effect of prosodic prominence on pitch production as well as the longer timescale effect of leaky prosody. By updating lexical items based on surface phonetic form, words that are consistently produced in high/low prosodic prominence positions take on the phonetic characteristics of those environments.

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Cascading activation in phonological planning and articulation: Evidence from spontaneous speech errors

Cited by 13 publications

References 31 publications

Simon Fraser University Speech Error Database (SFUSED) Cantonese: Methods, design, and usage

Simon Fraser University Speech Error Database (SFUSED) Cantonese: Methods, design, and usage

Inhibitory modulation of speech trajectories: Evidence from a vowel-modified Stroop task

A dynamic neural field model of leaky prosody: proof of concept

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