An ensemble of six speech and text models, mixing pause features, LLM macrodescriptors, and neural embeddings, achieves 59.3% macro F1 on the PROCESS three-class cognitive decline test set.
The results for the individual sys- tems are represented in Figure 3, where the best-performing models can be found in the top right corner
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Tackling Cognitive Impairment Detection from Speech: A submission to the PROCESS Challenge
An ensemble of six speech and text models, mixing pause features, LLM macrodescriptors, and neural embeddings, achieves 59.3% macro F1 on the PROCESS three-class cognitive decline test set.