Multi-talker speech comprehension at different temporal scales in listeners with normal and impaired hearing
Li, J.; Wang, Q.; Zhou, Q.; Yang, L.; Shen, Y.; Huang, S.; Wang, S.; Pylkkänen, L.; Huang, Z.
Show abstract
Comprehending speech requires deciphering a range of linguistic representations, from phonemes to narratives. Prior research suggests that in single-talker scenarios, the neural encoding of linguistic units follows a hierarchy of increasing temporal receptive windows. Shorter temporal units like phonemes and syllables are encoded by lower-level sensory brain regions, whereas longer units such as sentences and paragraphs are processed by higher-level perceptual and cognitive areas. However, the brains representation of these linguistic units under challenging listening conditions, such as a cocktail party situation, remains unclear. In this study, we recorded electroencephalogram (EEG) responses from both normal-hearing and hearing-impaired participants as they listened to individual and dual speakers narrating different parts of a story. The inclusion of hearing-impaired listeners allowed us to examine how hierarchically organized linguistic units in competing speech streams affect comprehension abilities. We leveraged a hierarchical language model to extract linguistic information at multiple levels--phoneme, syllable, word, phrase, and sentence--and aligned these model activations with the EEG data. Our findings showed distinct neural responses to dual-speaker speech between the two groups. Specifically, compared to normal-hearing listeners, hearing-impaired listeners exhibited poorer model fits at the acoustic, phoneme, and syllable levels as well as the sentence levels, but not at the word and phrase levels. These results suggest that hearing-impaired listeners experience disruptions at both shorter and longer temporal scales, while their processing at medium temporal scales remains unaffected.
Matching journals
The top 8 journals account for 50% of the predicted probability mass.
Similar papers in this journal
- Attention Decoding at the Cocktail Party: Preserved in Hearing Aid Users, Reduced in Cochlear Implant Users 97%
- Speech intelligibility changes the temporal evolution of neural speech tracking 97%
- Leading and Following: Noise Differently Affects Semantic and Acoustic Processing during Naturalistic Speech Comprehension 97%
Similar papers in this journal
- Amplified cortical tracking of word-level features of continuous competing speech in older adults 97%
- Cortical-brainstem interplay during speech perception in older adults with and without hearing loss 96%
- Decoding age-related changes in the spatiotemporal neural processing of speech using machine learning 96%
Similar papers in this journal
- Does amplitude compression help or hinder attentional neural speech tracking? 98%
- Salience-dependent disruption of sustained auditory attention can be inferred from evoked pupil responses and neural tracking of task-irrelevant sounds 97%
- General auditory and speech-specific contributions to cortical envelope tracking revealed using auditory chimeras 96%
Similar papers in this journal
- Lateralised cerebral processing of abstract linguistic structure in clear and degraded speech 97%
- Two Stages of Speech Envelope Tracking in Human Auditory Cortex Modulated by Speech Intelligibility 97%
- Neural Alpha Oscillations and Auditory Steady State Responses During Adaptation to a Cochlear Implant 96%
"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.