Ildikó Hoffmann — accepted AI-conference papers

2022

Using Acoustic Deep Neural Network Embeddings to Detect Multiple Sclerosis From Speech

Gábor Gosztolya, László Tóth, Veronika Svindt, Judit Bóna, Ildikó Hoffmann

ICASSP 2022accepted

Multiple sclerosis (MS) is a chronic inflammatory disease of the central nervous system. It affects cognitive and motor functions, and the limitation of executive functions can also manifest itself in speech production. Due to this, automatic speech analysis might serve as an effective technique for…

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2022

Using Spectral Sequence-to-Sequence Autoencoders to Assess Mild Cognitive Impairment

Mercedes Vetráb, José Vicente Egas López, Réka Balogh, Nóra Imre, Ildikó Hoffmann, László Tóth +3

ICASSP 2022accepted

Dementia is a chronic or progressive clinical syndrome, mainly characterized by the deterioration of memory, thinking, reasoning and language. In Mild cognitive impairment (MCI), often considered as the prodromal stage of dementia, there is also a subtle deterioration of these functions, but they do…

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