most citedDetecting Alzheimer's Disease Using Gated Convolutional Neural Network from Audio Data

6 citations · 7 across the 2 of their papers we have counts for

collaborators

2 papers

eess.AS2020★ 1 cited

Speech Paralinguistic Approach for Detecting Dementia Using Gated Convolutional Neural Network

Mariana Rodrigues Makiuchi, Tifani Warnita, Nakamasa Inoue +6

We propose a non-invasive and cost-effective method to automatically detect dementia by utilizing solely speech audio data. We extract paralinguistic features for a short speech se…

eess.AS2018★ 6 cited

Detecting Alzheimer's Disease Using Gated Convolutional Neural Network from Audio Data

Tifani Warnita, Nakamasa Inoue, Koichi Shinoda

We propose an automatic detection method of Alzheimer's diseases using a gated convolutional neural network (GCNN) from speech data. This GCNN can be trained with a relatively smal…