Constarium
← Search

Data · dataset · 2021

Cortical Processing of Distracting Speech in Noisy Auditory Scenes Depends on Perceptual Demand

Listed in IISH Dataverse and ODISSEI Portal — shown once because both records carry DOI 10.34894/2lvrif

Selective attention is essential for the processing of multi-speaker auditory scenes because they require the perceptual segregation of the relevant speech (‘target’) from irrelevant speech (‘distractors’).

Description

For simple sounds, it has been suggested that the processing of multiple distractor sounds depends on bottom-up factors affecting task performance. However, it remains unclear whether such dependency applies to naturalistic multi-speaker auditory scenes.

In this study, we tested the hypothesis that increased perceptual demand (the processing requirement posed by the scene to separate the target speech) reduces the cortical processing of distractor speech thus decreasing their perceptual segregation. Human participants were presented with auditory scenes including three speakers and asked to selectively attend to one speaker while their EEG was acquired. The perceptual demand of this selective listening task was varied by introducing an auditory cue (interaural time differences, ITDs) for segregating the target from the distractor speakers, while acoustic differences between the distractors were matched in ITD and loudness.

Read the rest (2 more)

We obtained a quantitative measure of the cortical segregation of distractor speakers by assessing the difference in how accurately speech-envelope following EEG responses could be predicted by models of averaged distractor speech versus models of individual distractor speech. In agreement with our hypothesis, results show that interaural segregation cues led to improved behavioral word-recognition performance and stronger cortical segregation of the distractor speakers.

The neural effect was strongest in the δ-band and at early delays (0-200ms). Our results indicate that during low perceptual demand, the human cortex represents individual distractor speech signals as more segregated. This suggests that, in addition to purely acoustical properties, the cortical processing of distractor speakers depends on factors like perceptual demand.

Links

Topics

Stated by source
Social Sciences · Social Sciences
Inferred from text
Audio 65%
Provenance · 2 source records, 11 field assertions
SourceKeyLast seenRaw
IISH Dataversedoi:10.34894/2LVRIF12 d agoJSON v1
ODISSEI Portaldoi:10.34894/2LVRIF8 d agoJSON v1
FieldAssertionExtractorEvidence
concepts[field].dataverse_subject:social-sciencessource · datasets iisg amsterdamconnector:datasets_iisg_amsterdam@1.0.0/subjects
concepts[field].dataverse_subject:social-sciencessource · portal odissei nlconnector:portal_odissei_nl@1.0.0/subjects
concepts[field].local:field:social-sciencemapping · datasets iisg amsterdamconnector:datasets_iisg_amsterdam@1.0.0/subjects
concepts[field].local:field:social-sciencemapping · portal odissei nlconnector:portal_odissei_nl@1.0.0/subjects
concepts[modality].local:modality:audioenrichment · datasets iisg amsterdamkeyword-concept-rules@1.0.0title+description (65%)
created_datesource · datasets iisg amsterdamconnector:datasets_iisg_amsterdam@1.0.0
descriptionsource · datasets iisg amsterdamconnector:datasets_iisg_amsterdam@1.0.0/description
publication_datesource · datasets iisg amsterdamconnector:datasets_iisg_amsterdam@1.0.0
titlesource · datasets iisg amsterdamconnector:datasets_iisg_amsterdam@1.0.0/name
updated_datesource · datasets iisg amsterdamconnector:datasets_iisg_amsterdam@1.0.0
version_labelsource · datasets iisg amsterdamconnector:datasets_iisg_amsterdam@1.0.0