» Articles » PMID: 32376899

Speech Rhythms and Their Neural Foundations

Overview
Specialty Neurology
Date 2020 May 8
PMID 32376899
Citations 121
Authors
Affiliations
Soon will be listed here.
Abstract

The recognition of spoken language has typically been studied by focusing on either words or their constituent elements (for example, low-level features or phonemes). More recently, the 'temporal mesoscale' of speech has been explored, specifically regularities in the envelope of the acoustic signal that correlate with syllabic information and that play a central role in production and perception processes. The temporal structure of speech at this scale is remarkably stable across languages, with a preferred range of rhythmicity of 2- 8 Hz. Importantly, this rhythmicity is required by the processes underlying the construction of intelligible speech. A lot of current work focuses on audio-motor interactions in speech, highlighting behavioural and neural evidence that demonstrates how properties of perceptual and motor systems, and their relation, can underlie the mesoscale speech rhythms. The data invite the hypothesis that the speech motor cortex is best modelled as a neural oscillator, a conjecture that aligns well with current proposals highlighting the fundamental role of neural oscillations in perception and cognition. The findings also show motor theories (of speech) in a different light, placing new mechanistic constraints on accounts of the action-perception interface.

Citing Articles

The cognitive science of language diversity: achievements and challenges.

Benitez-Burraco A Cogn Process. 2025; .

PMID: 39998596 DOI: 10.1007/s10339-025-01262-z.


Atypical audio-visual neural synchrony and speech processing in early autism.

Wang X, Bouton S, Kojovic N, Giraud A, Schaer M J Neurodev Disord. 2025; 17(1):9.

PMID: 39966708 PMC: 11837391. DOI: 10.1186/s11689-025-09593-w.


Simulating the impact of white matter connectivity on processing time scales using brain network models.

Triebkorn P, Jirsa V, Dominey P Commun Biol. 2025; 8(1):197.

PMID: 39920323 PMC: 11806016. DOI: 10.1038/s42003-025-07587-x.


Beta oscillations predict the envelope sharpness in a rhythmic beat sequence.

Leske S, Endestad T, Volehaugen V, Foldal M, Blenkmann A, Solbakk A Sci Rep. 2025; 15(1):3510.

PMID: 39875442 PMC: 11775266. DOI: 10.1038/s41598-025-86895-y.


Does Amplitude Compression Help or Hinder Attentional Neural Speech Tracking?.

Orf M, Hannemann R, Obleser J J Neurosci. 2025; 45(11).

PMID: 39843232 PMC: 11905343. DOI: 10.1523/JNEUROSCI.0238-24.2024.


References
1.
Mesgarani N, Cheung C, Johnson K, Chang E . Phonetic feature encoding in human superior temporal gyrus. Science. 2014; 343(6174):1006-10. PMC: 4350233. DOI: 10.1126/science.1245994. View

2.
Marslen-Wilson W . Functional parallelism in spoken word-recognition. Cognition. 1987; 25(1-2):71-102. DOI: 10.1016/0010-0277(87)90005-9. View

3.
Ding N, Patel A, Chen L, Butler H, Luo C, Poeppel D . Temporal modulations in speech and music. Neurosci Biobehav Rev. 2017; 81(Pt B):181-187. DOI: 10.1016/j.neubiorev.2017.02.011. View

4.
Varnet L, Ortiz-Barajas M, Guevara Erra R, Gervain J, Lorenzi C . A cross-linguistic study of speech modulation spectra. J Acoust Soc Am. 2017; 142(4):1976. DOI: 10.1121/1.5006179. View

5.
Drullman R, Festen J, PLOMP R . Effect of temporal envelope smearing on speech reception. J Acoust Soc Am. 1994; 95(2):1053-64. DOI: 10.1121/1.408467. View