probstlukas
commented
1 year ago Hello, this is not the appropriate platform to pose such questions. Please limit your inquiries and issues to matters directly related to this project.
Nevertheless, in response to your question: The most commonly employed tests for early detection of Alzheimer's focus on acoustic features, including pausing, articulation, and vocal quality, in conjunction with cognitive assessments.
Language proficiency generally declines with age, but it remains distinct from dementia. Notably:
- It is already established that Alzheimer's dementia is associated with certain language impairments, particularly in the later stages of the disease, differentiating it from healthy older individuals.
- Loss of language abilities can manifest as one of the initial symptoms of the disease.
GPT-3 can extract significant features from the text, such as word usage, sentence structure, and meaning, to generate what is known as an "embedding" – a distinctive profile of Alzheimer's speech.
The audio dataset utilized comprises recordings of spontaneous responses that reflect both the participant's linguistic proficiency and cognitive capabilities.
Feel free to ask any project-related questions or share your concerns.
Hello, I have another question I would like to ask you. When transcribing the speech of Alzheimer's patients into text, are there any losses of speech features specific to Alzheimer's patients? Or losses of features unique to Alzheimer's patients?