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1
Developing a real-time translator from neural signals to text: An articulatory phonetics approach ...
Comstock, Lindy; Tankus, Ariel; Tran, Michelle. - : University of Massachusetts Amherst, 2019
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Developing a real-time translator from neural signals to text: An articulatory phonetics approach
In: Proceedings of the Society for Computation in Linguistics (2019)
Abstract: New developments in brain-computer interfaces (BCI) harness machine learning to decode spoken language from electrocorticographic (ECoG) and local field potential (LFP) signals. Orienting to signals associated with motor movements that produce articulatory features improves phoneme detection quality: individual phonemes share features, but possess a unique feature set; classification by feature set allows for a finer distinction between neural signals. Data indicates vowels are more detectable, consonants have greater detection accuracy, place of articulation informs precision, and manner of articulation affects recall. Findings have implications for the multisensory integration of speech and the role of motor imagery in phonemic neural representations.
Keyword: Analytical; brain-machine interface; Computational Linguistics; Diagnostic and Therapeutic Techniques and Equipment; local field potentials; neural speech decoding; pattern recognition; phoneme likelihood estimation
URL: https://scholarworks.umass.edu/scil/vol2/iss1/37
https://scholarworks.umass.edu/cgi/viewcontent.cgi?article=1085&context=scil
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Pragmatic Accommodation and Linguistic Salience in U.S.-Russian Political Discourse
Comstock, Lindy B. - : eScholarship, University of California, 2018
In: Comstock, Lindy B. (2018). Pragmatic Accommodation and Linguistic Salience in U.S.-Russian Political Discourse. UCLA: Applied Linguistics 0074. Retrieved from: http://www.escholarship.org/uc/item/6jd7j3t7 (2018)
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4
Suffix interference in Russian
In: Proceedings of the Linguistic Society of America; Vol 3 (2018): Proceedings of the Linguistic Society of America; 54:1–11 ; 2473-8689 (2018)
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