The impact of attention load on the use of statistical information and coarticulation as speech segmentation cues

• Type: Article in International Scientific Journal
• Date: 2010

Authors

Tânia Fernandes (Author) FPCEUP; R. Kolinsky (Author) Other; P. Ventura (Author) Other

Journal

Title: Attention, Perception & Psychophysics

Vol. 72 No. 6

Pages: 1522-1532

ISSN: 1943-3921

Publisher: Springer Nature

Indexing

ISI Web of Knowledge - 8 Citations

ISI Web of Science

Scopus - 10 Citations

PsycInfo

Scientific classification

FOS: Social sciences > Psychology

Other information

Authenticus ID: P-003-44C

DOI: 10.3758/APP.72.6.1522

Abstract (EN): In two artificial language learning experiments, we investigated the impact of attention load on segmenting speech through two sublexical cues: transitional probabilities (TPs) and coarticulation. In Experiment 1, we observed that coarticulation processing was resilient to high attention load, whereas TP computation was penalized in a graded manner. In Experiment 2, we showed that encouraging participants to actively search for "word" candidates enhanced overall performance but was not sufficient to preclude the impairment of statistically driven segmentation by attention load. As long as attentional resources were depleted, independently of their intention to find these "words," participants segmented only TP words with the highest TPs, not TP words with lower TPs. Attention load thus has a graded and differential impact on the relative weighting of the cues in speech segmentation, even when only sublexical cues are available in the signal.

Language: English

Type (Professor's evaluation): Scientific

Notes: <a href="http://gateway.isiknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcAuth=Alerting&SrcApp=Alerting&DestApp=WOS&DestLinkType=FullRecord&KeyUT=000282067300009">Acesso à Web of Science</a> <br> <a href="http://www.scopus.com/record/display.url?eid=2-s2.0-77957656495&origin=resultslist">Acesso à Scopus</a>

No. of pages: 11