ADReSSo
ADReSSo is a benchmark dataset in the field of Alzheimer's disease speech detection and serves as an extended version of ADReSS. It is used to evaluate automatic speech-based methods for detecting cognitive impairment.
Timeline (last 90 days)
Speaker-independent experiments on ADReSS and ADReSSo show that dual-task vector merging outperforms frozen probing, LoRA, and full fine-tuning.
ADReSS and ADReSSo are INTERSPEECH series challenge datasets, both binary classification (AD vs. healthy control), and emphasize speaker-independent splits.
The research team evaluated LAPE on two standard datasets, ADReSS and ADReSSo.
All Facts (3)
Speaker-independent experiments on ADReSS and ADReSSo show that dual-task vector merging outperforms frozen probing, LoRA, and full fine-tuning.
50%UnverifiedADReSS and ADReSSo are INTERSPEECH series challenge datasets, both binary classification (AD vs. healthy control), and emphasize speaker-independent splits.
50%UnverifiedThe research team evaluated LAPE on two standard datasets, ADReSS and ADReSSo.
50%