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--- title: "Sadeghian 2021" source: https://www.jemoka.com/posts/kbhsadeghian_2021/ tags: [ntj] --- DOI: 10.3389/fcomp.2021.624594 (Sadeghian, Schaffer, and Zahorian 2021) One-Liner Using a genetic algorithm, picked features to optimize fore; achieved \(94\%\) with just MMSE data alone (ok like duh me too). Developed ASR tool to aid. Novelty Developed an ASR methodology for speech, complete with punctuations Used a genetic algorithm to do feature selection; NNs performed worse because “space is smaller???” Notable Methods Used a GRU to insert punctuations The paper leveraged the nuke that is a bidirectional GRU, ATTENTION, Key Figs Fully automated ANN transcript does pretty well in terms of classifier AD/NL. New Concepts fusion genetic algorithm MMSE Notes very confusing (too many things going on at once)