Classification of ALS patients based on acoustic analysis of sustained vowel phonations
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Updated
Oct 20, 2023
Classification of ALS patients based on acoustic analysis of sustained vowel phonations
A pyqt workbench for interacting with speech datasets, built foremost for SLP researchers, with applications in education and potential for clinical use.
SLP Goalden is a full-stack app designed to help speech language pathologists track student speech goals and progress. Notable technologies include: node, Express, MySQL, Sequelize and Materialize.
Flash Card App for Speech Pathology
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Hyb-DysNet: hybrid feature fusion (eGeMAPSv02 + Wav2Vec2-XLS-R + Librosa) and soft-voting ensemble for dysarthria severity classification in ALS patients.
A digital health and assistive technology tool built with an accessibility-first philosophy to facilitate action-verb learning for neurodivergent kids (ages 3-7, ASD). Blends clinical speech methodologies with a low-sensory UI, showcasing clean execution across product management, UX design, and product engineering.
An tool for speech language pathologists to track their students' speech goal progress. Utilizes Bootstrap and json/local storage.
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