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Julian Fritsch

2 accepted papers

2020

Estimating the Degree of Sleepiness by Integrating Articulatory Feature Knowledge in Raw Waveform Based CNNS

ICASSP 2020accepted

Speech-based degree of sleepiness estimation is an emerging research problem. This paper investigates an end-to-end approach, where given raw waveform as input, a convolutional neural network (CNN) estimates at its output the degree of sleepiness. Within this approach, we investigate constraining th…

Cited by 0SourceScholar
2019

Automatic Diagnosis of Alzheimer's Disease Using Neural Network Language Models

ICASSP 2019accepted

In today's aging society, the number of neurodegenerative diseases such as Alzheimer's disease (AD) increases. Reliable tools for automatic early screening as well as monitoring of AD patients are necessary. For that, semantic deficits have been shown to be useful indicators. We present a way to sig…

Cited by 0SourceScholar