Linguistics and Languages

Combining predictive coding and neural oscillations enables online syllable recognition in natural speech

S. Hovsepyan, I. Olasagasti, et al.

This innovative research by Sevada Hovsepyan, Itsaso Olasagasti, and Anne-Lise Giraud investigates how predictive coding and neural oscillations enhance our ability to recognize syllables in natural speech. The developed computational model reveals the remarkable alignment of internal predictions and acoustic inputs, showcasing the dynamic interplay vital for effective sensory processing.

00:00

Playback language: English

Index

Abstract

This paper explores the combined effects of predictive coding and neural oscillations on online syllable recognition in natural speech. A computational model, Process, was developed to identify syllable sequences in continuous speech by using predictions from internal spectro-temporal representations and theta oscillations to signal syllable onsets and durations. The model demonstrates that online syllable identification works best when theta-gamma coupling temporally aligns spectro-temporal predictions with acoustic input, highlighting the interplay between predictive coding and neural oscillations in dynamic sensory processing.

Publisher

Nature Communications

Published On

Jun 19, 2020

Authors

Sevada Hovsepyan, Itsaso Olasagasti, Anne-Lise Giraud

Related Publications

Explore these studies to deepen your understanding of the subject.

Sociology

From online hate speech to offline hate crime: the role of inflammatory language in forecasting violence against migrant and LGBT communities

C. A. Calderón, P. S. Holgado, et al.

Linguistics and Languages

Evidence of a predictive coding hierarchy in the human brain listening to speech

C. Caucheteux, A. Gramfort, et al.

Health and Fitness

Physical activity and screen time of children and adolescents before and during the COVID-19 lockdown in Germany: a natural experiment

S. C. E. Schmidt, B. Anedda, et al.

Medicine and Health

The 2022 Massive Open Online Course (MOOC) to train physiotherapists in the management of people with spinal cord injuries: a qualitative and quantitative analysis of learners’ experiences and its impact

J. V. Glinsky, J. Ilha, et al.

Listen, Learn & Level Up

Over 10,000 hours of research content in 25+ fields, available in 12+ languages.

No more digging through PDFs, just hit play and absorb the world's latest research in your language, on your time.

listen to research audio papers with researchbunny