ERIC Number: EJ724171
Record Type: Journal
Publication Date: 2005-Sep
Reference Count: N/A
Speech Segmentation by Statistical Learning Depends on Attention
Toro, Juan M.; Sinnett, Scott; Soto-Faraco, Salvador
Cognition, v97 n2 pB25-B34 Sep 2005
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.
Descriptors: Auditory Perception, Word Recognition, Artificial Speech, Hypothesis Testing, Attention, Auditory Tests, Vision Tests, Communication Research, Visual Perception, Cognitive Processes, Foreign Countries
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Publication Type: Journal Articles; Reports - Descriptive
Education Level: N/A
Authoring Institution: N/A
Identifiers - Location: Spain