acw-upv/INTERSPEECH2023_AlzheimersDisease
This repository contains the code for the INTERSPEECH2023 paper: "Alzheimer Disease Classification through ASR-based Transcriptions: Exploring the Impact of Punctuation and Pauses"
This project helps clinicians and researchers diagnose Alzheimer's Disease by analyzing speech patterns. It takes audio recordings of patient speech and automatically generates a classification indicating the likelihood of Alzheimer's. Speech pathologists and neurologists who use speech analysis for diagnostic purposes would find this useful.
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Use this if you need an automated way to classify Alzheimer's Disease from speech audio, exploring the impact of punctuation and pauses.
Not ideal if you are looking for a complete, production-ready diagnostic tool rather than a research-focused classification model.
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Jun 15, 2025
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