Sadeghian 2021

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)