Interaction between auditory and motor systems in speech perception

Wu, Zhemeng; Chen, Mingli; Wu, Xihong; Li, Liang

doi:10.1007/s12264-013-1428-6

Cited by 27 publications

(37 citation statements)

References 53 publications

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Section: Motor Theory Of Speech Perceptionmentioning

confidence: 99%

“…More recently, another even weaker version of the motor theory has been proposed, based on converging experimental evidence from studies involving speech perception in difficult listening situations (Wu et al, 2014). This version claims the motor system influences speech perception, but it is not sufficient or essential for perception, suggesting instead that the motor system plays an ancillary role in in which it is primarily engaged during noisy or degraded listening scenarios (Wilson, 2009;Wu et al, 2014). Additional support comes from a computational model of speech recognition in which auditory and motor theories were found to be indistinguishable during ideal listening conditions but not during degraded conditions MOTOR CONTRIBUTION TO SPEECH PERCEPTION 5 (Barnaud, Bessière, Diard, & Schwartz, 2018;Laurent, Barnaud, Schwartz, Bessière, & Diard, 2017).…”

Section: Motor Theory Of Speech Perceptionmentioning

confidence: 99%

“…On the other hand, speech production, or the precise coordination of articulatory movements, has been classically linked to brain regions in the left inferior frontal lobe (Price, 2000). These systems may not act independently of one another; some scientists propose that the auditory system supports speech production (Guenther, Hampson, & Johnson, 1998;Hickok, Houde, & Rong, 2011;Houde & Jordan, 1998), while others assert that the motor system is required for optimal speech perception (Liberman, Cooper, Shankweiler, & Studdert-Kennedy, 1967;Liberman & Mattingly, 1985;Meister, Wilson, Deblieck, Wu, & Iacoboni, 2007;Wilson, 2009;Wu, Chen, Wu, & Li, 2014).…”

Section: Introductionmentioning

confidence: 99%

“…The first claim will not be addressed in this paper. The second claim, derived from the motor theory of speech perception, is driven by evidence demonstrating motor system involvement during speech recognition tasks (Fadiga, Craighero, Buccino, & Rizzolatti, 2002;Meister et al, 2007;Watkins, Strafella, & Paus, 2003;Wu et al, 2014).…”

Section: Introductionmentioning

confidence: 99%

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The Motor System's [Modest] Contribution to Speech Perception

Stokes¹,

Venezia²,

Hickok³

2019

Preprint

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Recent evidence suggests that the motor system may have a facilitatory role in speech perception during noisy listening conditions. Studies clearly show an association between activity in auditory and motor speech systems, but also hint at a causal role for the motor system in noisy speech perception. However, in the most compelling "causal" studies performance was only measured at a single signal-to-noise ratio (SNR). If listening conditions must be noisy to invoke causal motor involvement, then effects will be contingent on the SNR at which they are tested. We used articulatory suppression to disrupt motor-speech areas while measuring phonemic identification across a range of SNRs. As controls, we also measured phoneme identification during passive listening, mandible gesturing, and foot-tapping conditions. Two-parameter (threshold, slope) psychometric functions were fit to the data in each condition. Our findings indicate: (1) no effect of experimental task on psychometric function slopes; (2) a small effect of articulatory suppression, in particular, on psychometric function thresholds. The size of the latter effect was 1 dB (~5% correct) on average, suggesting, at best, a minor modulatory role of the speech motor system in perception.

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Section: Motor Theory Of Speech Perceptionmentioning

confidence: 99%

Section: Motor Theory Of Speech Perceptionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

The Motor System's [Modest] Contribution to Speech Perception

Stokes¹,

Venezia²,

Hickok³

2019

Preprint

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“…These routes are thought to participate in acoustic/phonological transcoding (Catani et al, 2005). The recurrent motor-perceptual interaction is known to facilitate speech perception of unfamiliar speech stimuli, e.g., distorted speech and novel or low-frequency words (Wu et al, 2014;Stokes et al, 2019). Therefore, greater involvement of the entire perisylvian network into the APW compared to the NPW response in our experiment may indicate that newly learned semantic association boosted perceptual processing of incoming novel linguistic stimuli.…”

Section: Semantic Learning Effectsmentioning

confidence: 75%

Rapid cortical plasticity induced by active associative learning of novel words in human adults

Alexandra

Владимирович

A.Yu.

et al. 2019

Preprint

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18Whether short-term learning of new words can induce rapid changes in cortical areas involved in 19 distributed neural representation of the lexicon is a hotly debated topic. To answer this question, 20 we examined magnetoencephalographic phase-locked responses elicited in the cerebral cortex by 21 passive presentation of eight novel pseudowords before and immediately after an operant 22 conditioning task. This procedure forced participants to perform an active search for unique 23 meaning of four word-forms that referred to movements of their own body parts. While 24 familiarization with novel word-forms led to bilateral repetition suppression of cortical responses 25 to all eight pseudowords, these reduced responses became more selectively tuned towards newly 26 learned action words in the left hemisphere. Our results suggest that stimulus repetition and active 27 learning of semantic association have separable effects on cortical activity. They also evidence 28 rapid plastic changes in cortical representations of meaningful auditory word-forms after active 29 learning. 30 Keywords 31 associative learning, word semantics, MEG, repetition suppression, cortical plasticity, 32 familiarization.33 Cortical plasticity induced by active learning of novel words 3 2017) explored efficacy of associative learning in comparison with statistical learning when the 113 participants learned four tri-syllabic pseudowords presented within a continuous stream of auditory 114 consonant-vowel (CV) syllables. The results showed that during the learning phase, the "semantic" 115 N400 component of the ERP (Kutas & Federmeier, 2011) is elicited by pseudowords associated 116 with visual images but not by pseudowords detected solely on the probability of transitions 117between syllables embedded into a continuous auditory stream. However, these ERP findings did 118 not provide evidence for the "fast mapping" hypothesis. Indeed, since the participants were 119 required to listen carefully to the auditory stream with the task of discovering new words, learning-120 related enhancement of N400 might have been elicited by an on-line attentional modulation, i.e., 121 attention biased toward auditory word-forms associated with pictures during the learning session. 122 Cortical plasticity induced by active learning of novel words 6To prove semantic cortical plasticity, enhanced N400 should be observed during passive exposure 123 to the newly learned word-forms. 124In summary, the current picture of "fast mapping" in word learning is obviously far from 125 complete. It is a controversial topic with a body of associated literature, yet the mere existence of 126 "fast mapping" in forming cortical representations of word semantics is still considered doubtful 127 by many (see Cooper, Greve, Henson, Greve, & Henson, 2018 for review). One of the reasons for 128 this skepticism might be the passive nature of the learning procedure used in the previous 129 experiments. A word, which is learned passively through repetition or instructions, is t...

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Engagement of the speech motor system in challenging speech perception: Activation likelihood estimation meta‐analyses

Perron,

Vuong,

Grassi

et al. 2024

Human Brain Mapping

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The relationship between speech production and perception is a topic of ongoing debate. Some argue that there is little interaction between the two, while others claim they share representations and processes. One perspective suggests increased recruitment of the speech motor system in demanding listening situations to facilitate perception. However, uncertainties persist regarding the specific regions involved and the listening conditions influencing its engagement. This study used activation likelihood estimation in coordinate‐based meta‐analyses to investigate the neural overlap between speech production and three speech perception conditions: speech‐in‐noise, spectrally degraded speech and linguistically complex speech. Neural overlap was observed in the left frontal, insular and temporal regions. Key nodes included the left frontal operculum (FOC), left posterior lateral part of the inferior frontal gyrus (IFG), left planum temporale (PT), and left pre‐supplementary motor area (pre‐SMA). The left IFG activation was consistently observed during linguistic processing, suggesting sensitivity to the linguistic content of speech. In comparison, the left pre‐SMA activation was observed when processing degraded and noisy signals, indicating sensitivity to signal quality. Activations of the left PT and FOC activation were noted in all conditions, with the posterior FOC area overlapping in all conditions. Our meta‐analysis reveals context‐independent (FOC, PT) and context‐dependent (pre‐SMA, posterior lateral IFG) regions within the speech motor system during challenging speech perception. These regions could contribute to sensorimotor integration and executive cognitive control for perception and production.

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Interaction between auditory and motor systems in speech perception

Cited by 27 publications

References 53 publications

The Motor System's [Modest] Contribution to Speech Perception

The Motor System's [Modest] Contribution to Speech Perception

Rapid cortical plasticity induced by active associative learning of novel words in human adults

Engagement of the speech motor system in challenging speech perception: Activation likelihood estimation meta‐analyses

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