Speech segmentation by statistical learning depends on attention Export

@article{citeulike:173539, abstract = {We addressed the hypothesis that word segmentation based on statistical regularities occurs without the need of attention. Participants were presented with a stream of artificial speech in which the only cue to extract the words was the presence of statistical regularities between syllables. Half of the participants were asked to passively listen to the speech stream, while the other half were asked to perform a concurrent task. In Experiment 1, the concurrent task was performed on a separate auditory stream (noises), in Experiment 2 it was performed on a visual stream (pictures), and in Experiment 3 it was performed on pitch changes in the speech stream itself. Invariably, passive listening to the speech stream led to successful word extraction (as measured by a recognition test presented after the exposure phase), whereas diverted attention led to a dramatic impairment in word segmentation performance. These findings demonstrate that when attentional resources are depleted, word segmentation based on statistical regularities is seriously compromised.}, author = {Toro, Juan M. and Sinnett, Scott and Soto-Faraco, Salvador}, citeulike-article-id = {173539}, citeulike-linkout-0 = {http://dx.doi.org/10.1016/j.cognition.2005.01.006}, citeulike-linkout-1 = {http://linkinghub.elsevier.com/retrieve/pii/S0010027705000429}, citeulike-linkout-2 = {http://www.sciencedirect.com/science/article/B6T24-4G002WM-1/2/c95fa41b150acaf5615681b0cc07a59e}, doi = {10.1016/j.cognition.2005.01.006}, journal = {Cognition}, keywords = {language-acquisition, statistical-learning}, posted-at = {2009-10-27 14:54:05}, priority = {2}, title = {Speech segmentation by statistical learning depends on attention}, url = {http://dx.doi.org/10.1016/j.cognition.2005.01.006}, volume = {In Press, Corrected Proof} }

TY - JOUR ID - citeulike:173539 L3 - citeulike-article-id:173539 N2 - We addressed the hypothesis that word segmentation based on statistical regularities occurs without the need of attention. Participants were presented with a stream of artificial speech in which the only cue to extract the words was the presence of statistical regularities between syllables. Half of the participants were asked to passively listen to the speech stream, while the other half were asked to perform a concurrent task. In Experiment 1, the concurrent task was performed on a separate auditory stream (noises), in Experiment 2 it was performed on a visual stream (pictures), and in Experiment 3 it was performed on pitch changes in the speech stream itself. Invariably, passive listening to the speech stream led to successful word extraction (as measured by a recognition test presented after the exposure phase), whereas diverted attention led to a dramatic impairment in word segmentation performance. These findings demonstrate that when attentional resources are depleted, word segmentation based on statistical regularities is seriously compromised. JF - Cognition TI - Speech segmentation by statistical learning depends on attention VL - In Press, Corrected Proof KW - language-acquisition KW - statistical-learning AU - Toro, Juan AU - Sinnett, Scott AU - Soto-Faraco, Salvador UR - http://dx.doi.org/10.1016/j.cognition.2005.01.006 ER -