Blog Archives

Using the distributional statistics of speech sounds for weighting and integrating acoustic cues

Toscano, J. C. & McMurray, B. (2008). In B. C. Love, K. McRae, & V. M. Sloutsky (Eds.), Proceedings of the 30th Annual Conference of the Cognitive Science Society (pp. 433-438). Austin, TX: Cognitive Science Society.

Abstract: A great deal of behavioral evidence suggests that infants can use distributional statistics to learn speech sound categories. .. Read more →

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Posted in Refereed conference proceedings

Integrating acoustic cues to phonetic features

A computational approach to cue weighting

Toscano, J. C. and McMurray, B. (2007, October). Poster presented at Where Do Features Come From? Phonological Primitives in the Brain, the Mouth, and the Ear. Paris, France.

Abstract:

A central issue in phonology and speech perception is the relationship between acoustic cues in the speech signal and the features they correspond to... Read more →

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Posted in Presentations

Taking statistical learning to the next level

A computational approach to the acquisition of multi-dimensional categories

Toscano, J. C. and McMurray, B. (2007, March). Poster presented at the 2007 Biennial Meeting of the Society for Research in Child Development, Boston, MA.

PDF of poster.. Read more →

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Posted in Presentations

Acoustic cue integration in natural speech

Empirical and computational results

Toscano, J. C. and McMurray, B. (2006, October). Talk presented at the 12th Midcontinental Workshop on Phonology, University of Iowa, Iowa City, IA.

Abstract:

Multiple acoustic cues in the speech signal often contribute to a single phonetic categorization. For example, in the perception of word-initial voicing in stop consonants, voice onset time (VOT) and vowel length have both been shown to influence voicing judgments (Summerfield, 1981)... Read more →

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Posted in Presentations

A lexical locus for the integration of asynchronous cues to voicing

An investigation with natural stimuli

Toscano, J. C. and McMurray, B. (2006, June). Poster presented at the 151st Meeting of the Acoustical Society of America, Providence, RI.

PDF of poster.. Read more →

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Posted in Presentations

Computational models of speech perception

By building computer models of the speech system and running simulations with them, we are able to better understand how phonetic categories are learned and how listeners process speech sounds during word recognition. I use several types of models to study speech perception, including neural network and statistical models. Two of the specific problems I am working on are unsupervised learning and cue weighting... Read more →

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Posted in Research