Abstract
Alzheimer’s Disease (AD) produce important clues in speech, which may be used in pathology monitoring and grading. The study is intended to model which aspects of articulation may be affected more, and to which extent. Comparing speech from AD patients versus control subjects produced in animal naming, certain characteristics may be observed, encoding fluency and formant dynamics. Kullback-Leibler Divergence from formant velocity distributions is sought to work as a possible biomarker in AD monitoring tasks.
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Acknowledgments
The present work is funded by grants TEC2012-38630-C04-01 and TEC2012-38630-C04-04 from Plan Nacional de I + D+i, Ministry of Economic Affairs and Competitiveness of Spain.
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Gómez-Vilda, P., López de Ipiña, M.K., Rodellar-Biarge, V., Palacios-Alonso, D., Ecay-Torres, M. (2017). Articulation Characterization in AD Speech Production. In: Ibáñez, J., González-Vargas, J., Azorín, J., Akay, M., Pons, J. (eds) Converging Clinical and Engineering Research on Neurorehabilitation II. Biosystems & Biorobotics, vol 15. Springer, Cham. https://doi.org/10.1007/978-3-319-46669-9_140
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DOI: https://doi.org/10.1007/978-3-319-46669-9_140
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