---
title: "Mahajan 2021"
source: https://www.jemoka.com/posts/kbhmahajan_2021/
tags: [ntj]
---

DOI: 10.3389/fnagi.2021.623607
One-Liner Trained a bimodal model on speech/text with GRU on speech and CNN-LSTM on text.
Novelty A post-2019 NLP paper that doesn&rsquo;t use transformers! (so faster (they used CNN-LSTM) lighter easier) &ldquo;Our work sheds light on why the accuracy of these models drops to 72.92% on the ADReSS dataset, whereas, they gave state of the art results on the DementiaBank dataset.&rdquo; Notable Methods Bi-Modal audio and transcript processing vis a vi Shah 2021, but with a CNN-LSTM and GRU on the other side.
Key Figs Figure 1: Proposed Architecture The figure highlights the authors&rsquo; proposed architecture
Figure 2: confusion matrix In addition to validating prior work by Karlekar 2018 and Di Palo 2019, proposed model C and got accuracy of \(73.92\%\).
