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Balamurali B T

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Articles by Balamurali B T

Alzheimer’s Dementia Speech (Audio vs. Text): Multi-Modal Machine Learning at High vs. Low Resolution

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By Christopher Clarke, Balamurali B T, Prachee Priyadarshinee, Jan Melechovsky
| MDPI
2.4. Training Models This study looked into a variety of machine learning and deep learning models. Table 2 shows the investigated models for the sixteen feature set. The choice of selected models was motivated by the success of these algorithms in supporting fast-prototyping when working with various frame-level or file-level features. Various combinations of classifiers and their hyperparameters were fine tuned for every feature set, and the resulting training losses were compared.
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Estimating vocal tract geometry from acoustic impedance using deep neural network

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By Balamurali B T, Saumitra Kapoor, Jer-Ming Chen
| asa.scitation.org
Understanding how vocal tract shape (its articulation) determines the output speech sound (from the lips) originating from an acoustic current (produced at the glottis) is a critical and fundamental key to vocal tract acoustics and voice science. While the acoustic modelling of the vocal tract from a known cross-sectional area function to determine its input acoustic impedance is now well established, the reverse—elucidating geometric information from acoustic data—remains challenging.
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