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Alzheimer's dementia recognition through spontaneous speech
While a number of studies have investigated speech and language features for the detection
of AD and mild cognitive impairment (Fraser et al., 2016), and proposed various signal …
of AD and mild cognitive impairment (Fraser et al., 2016), and proposed various signal …
Conversational affective social robots for ageing and dementia support
Socially assistive robots (SAR) hold significant potential to assist older adults and people
with dementia in human engagement and clinical contexts by supporting mental health and …
with dementia in human engagement and clinical contexts by supporting mental health and …
[HTML][HTML] Interactive search on the web: The story so far
Search on the web, specifically fetching of the relevant content, has been paid attention to
since the advent of the web and particularly in recent years due to the tremendous growth in …
since the advent of the web and particularly in recent years due to the tremendous growth in …
Multi-party multimodal conversations between patients, their companions, and a social robot in a hospital memory clinic
We have deployed an LLM-based spoken dialogue system in a real hospital. The ARI social
robot embodies our system, which patients and their companions can have multi-party …
robot embodies our system, which patients and their companions can have multi-party …
Alzheimer's dementia recognition from spontaneous speech using disfluency and interactional features
Alzheimer's disease (AD) is a progressive, neurodegenerative disorder mainly characterized
by memory loss with deficits in other cognitive domains, including language, visuospatial …
by memory loss with deficits in other cognitive domains, including language, visuospatial …
A comprehensive evaluation of incremental speech recognition and diarization for conversational AI
Abstract Automatic Speech Recognition (ASR) systems are increasingly powerful and more
accurate, but also more numerous with several options existing currently as a service (eg …
accurate, but also more numerous with several options existing currently as a service (eg …
[PDF][PDF] Detecting alzheimer's disease using interactional and acoustic features from spontaneous speech
Alzheimer's Disease (AD) is a form of Dementia that manifests in cognitive decline including
memory, language, and changes in behavior. Speech data has proven valuable for inferring …
memory, language, and changes in behavior. Speech data has proven valuable for inferring …
You have interrupted me again!: making voice assistants more dementia-friendly with incremental clarification
In spontaneous conversation, speakers seldom have a full plan of what they are going to say
in advance: they need to conceptualise and plan incrementally as they articulate each word …
in advance: they need to conceptualise and plan incrementally as they articulate each word …
Multimodal capture of patient behaviour for improved detection of early dementia: clinical feasibility and preliminary results
Non-invasive automatic screening for Alzheimer's disease has the potential to improve
diagnostic accuracy while lowering healthcare costs. Previous research has shown that …
diagnostic accuracy while lowering healthcare costs. Previous research has shown that …
It Couldn't Help But Overhear: On the Limits of Modelling Meta-Communicative Grounding Acts with Supervised Learning
Active participation in a conversation is key to building common ground, since
understanding is jointly tailored by producers and recipients. Overhearers are deprived of …
understanding is jointly tailored by producers and recipients. Overhearers are deprived of …