Perception of speech reflects optimal use of probabilistic speech cues Export

@article{citeulike:3453044, abstract = {Listeners are exquisitely sensitive to fine-grained acoustic detail within phonetic categories for sounds and words. Here we show that this sensitivity is optimal given the probabilistic nature of speech cues. We manipulated the probability distribution of one probabilistic cue, voice onset time (VOT), which differentiates word initial labial stops in English (e.g., \&\#x201c;beach\&\#x201d; and \&\#x201c;peach\&\#x201d;). Participants categorized words from distributions of VOT with wide or narrow variances. Uncertainty about word identity was measured by four-alternative forced-choice judgments and by the probability of looks to pictures. Both measures closely reflected the posterior probability of the word given the likelihood distributions of VOT, suggesting that listeners are sensitive to these distributions.}, author = {Clayards, M. and Tanenhaus, M. and Aslin, R. and Jacobs, R.}, citeulike-article-id = {3453044}, citeulike-linkout-0 = {http://dx.doi.org/10.1016/j.cognition.2008.04.004}, citeulike-linkout-1 = {http://linkinghub.elsevier.com/retrieve/pii/S0010027708001017}, doi = {10.1016/j.cognition.2008.04.004}, issn = {00100277}, journal = {Cognition}, keywords = {bayesian, spoken-word-recognition, statistical-learning, visual-world-paradigm}, month = {September}, number = {3}, pages = {804--809}, posted-at = {2008-10-27 13:08:08}, priority = {2}, title = {Perception of speech reflects optimal use of probabilistic speech cues}, url = {http://dx.doi.org/10.1016/j.cognition.2008.04.004}, volume = {108}, year = {2008} }

TY - JOUR ID - citeulike:3453044 L3 - citeulike-article-id:3453044 N2 - Listeners are exquisitely sensitive to fine-grained acoustic detail within phonetic categories for sounds and words. Here we show that this sensitivity is optimal given the probabilistic nature of speech cues. We manipulated the probability distribution of one probabilistic cue, voice onset time (VOT), which differentiates word initial labial stops in English (e.g., “beach” and “peach”). Participants categorized words from distributions of VOT with wide or narrow variances. Uncertainty about word identity was measured by four-alternative forced-choice judgments and by the probability of looks to pictures. Both measures closely reflected the posterior probability of the word given the likelihood distributions of VOT, suggesting that listeners are sensitive to these distributions. IS - 3 JF - Cognition SN - 00100277 EP - 809 TI - Perception of speech reflects optimal use of probabilistic speech cues VL - 108 SP - 804 KW - bayesian KW - spoken-word-recognition KW - statistical-learning KW - visual-world-paradigm AU - Clayards, M AU - Tanenhaus, M AU - Aslin, R AU - Jacobs, R PY - 2008/09// UR - http://dx.doi.org/10.1016/j.cognition.2008.04.004 ER -