I'm currently an Assistant Professor of Psycholinguistics in the Department of Linguistics at The University of Texas at Austin. Prior to my time in the Department of Linguistics at UT Austin, I was a Postdoctoral Associate in the Department of Communication Sciences and Disorders at the same university (2016-2018) and the University of Pittsburgh (2018-2020). My research area is neurolinguistics. I'm primarily interested in the neural processing of speech categories by monolinguals, bilinguals, and second-language learners. I investigate these topics using behavioral methods, neuroimaging, brain stimulation, and machine learning. My work aims to develop computational and neurobiologically-informed models to test theoretical predictions on speech processing, improve the acquisition of new languages, and inform clinical treatments.
- Llanos, F., Gnanateja, G. N., & Chandrasekaran, B. (in preparation). Sensory representation of speech covariation patterns in frequency following responses to lexical tones.
- Gnanateja, G. N., Rupp, K., Llanos, F., Pernia, M., Sadapogan, S., Abel, T., & Chandrasekaran, B. (submitted). Deconstructing the cortical sources of frequency following responses to speech: A cross-species approach.
- Llanos, F., German, J. S., Gnanateja, G. N., & Chandrasekaran, B. (2021). The neural processing of pitch accents in continuous speech. Neuropsychologia, 158, 107883.
- Feng, G., Gan, Z., Llanos, F., Meng, D., Wang, S., Wong, P., & Chandrasekaran, B.(2020). A distributed dynamic brain network underlies speech perceptual constancy and categorization decision. Neuroimage, 224, 117410.
- Paulon, G., Llanos, F., Chandrasekaran, B., & Sarkar, A. (2020). Bayesian Semiparametric Longitudinal Drift-Diffusion Mixed Models for Tone Learning in Adults. Journal of the American Statistical Association, 1-14.
- Llanos, F., McHaney, J. R., Schuerman, W. L., Yi, H. G., Leonard, M. K., & Chandrasekaran, B. (2020). Non-invasive peripheral nerve stimulation enhances speech category learning in adults. Nature Partner Journal - Science of Learning. 5, 12.
- Llanos, F., Xie, Z., & Chandrasekaran, B. (2019). Biometric identiﬁcation of listener identity from frequency following responses to speech. Journal of Neural Engineering, 16(5).
- Kluender, K. R., Stilp, C. E., & Llanos, F. (2019). Long-standing problems in speech perception dissolve within an information-theoretic perspective. Attention, Perception, & Psychophysics, 81(4), 861-883.
- Reetzke, R., Xie, Z., Llanos, F., & Chandrasekaran, B. (2018). Tracing the trajectory of auditory plasticity from novice to native-like speech categorization in adulthood. Current Biology, 28, 1419-1427.
- Llanos, F., Xie, Z., & Chandrasekaran, B. (2017). Hidden Markov modeling of frequency following responses to Mandarin lexical tones. Journal of Neuroscience Methods, 291, 101-112.
- Wang, Y., Llanos, F., & Seidl, A. (2017). Infants adapt to speaking rate diﬀerences in word segmentation. The Journal of the Acoustical Society of America, 141(4), 2569-2578.
- Llanos, F., Alexander, J. M., Stilp, C. E., & Kluender, K. R. (2017). Power spectral entropy as an information-theoretic correlate of manner of articulation in American English. The Journal of the Acoustical Society of America, 141(2), EL127-EL133.
- Llanos, F., & Francis, A. L. (2016) The eﬀects of language experience and speech context on the phonetic accommodation of English-accented Spanish voicing. Language and Speech, 60(1), 3-26.
- Dmitrieva, O., Llanos, F., Shultz, A. A., & Francis, A. L. (2015). Phonological status, not voice onset time, determines the acoustic realization of onset f0 as a secondary voicing cue in Spanish and English. Journal of Phonetics, 49, 77-95.