NTHU-ML-2023-team19/ADReSSo
Here is our main codebase for fine-tuning transformers for AD classification and MMSE regression.
This project helps researchers and clinicians analyze speech recordings to identify potential signs of Alzheimer's Dementia (AD) and estimate cognitive function (MMSE scores). You provide audio data, and it outputs predictions on whether the speaker shows signs of AD or their estimated MMSE score. It's designed for professionals in medical research, neuroscience, or linguistics studying cognitive decline through speech.
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Use this if you need to classify speech recordings for Alzheimer's Dementia detection or predict Mini-Mental State Examination (MMSE) scores from audio.
Not ideal if you don't have access to audio datasets formatted for Hugging Face or if you lack the technical expertise to set up and fine-tune machine learning models.
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May 06, 2024
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