Fusing the advantages of multiple acoustic features is important for the robustness of voice
activity detection (VAD). Recently, the machine-learning-based VADs have shown a …

Alzheimer's disease (AD) is the most common cause of dementia in the elderly and affects
approximately 30 million individuals worldwide. With the growth of the older population in …

Finding sensitive and appropriate technologies for non-invasive observation and early
detection of Alzheimer's disease (AD) is of fundamental importance to develop early …

Medical image processing has become an integral part of disease diagnosis, where
technological advancements have brought significant changes to this approach. In this …

Single-photon emission tomography (SPECT) imaging has been widely used to guide
clinicians in the early Alzheimer's disease (AD) diagnosis challenge. However, AD detection …

We define voice activity detection (VAD) as a binary classification problem and solve it using
the support vector machine (SVM). Challenges in SVM-based approach include selection of …

We present a novel classification method of SPECT images based on Gaussian mixture
models (GMM) for the diagnosis of Alzheimer's disease. The aims of the model-based …

An accurate and early diagnosis of the Alzheimer's Disease (AD) is of fundamental
importance for the patients medical treatment. Single Photon Emission Computed …

Parkinsonism is the second most common neurodegenerative disorder. It includes several
pathologies with similar symptoms, what makes the diagnosis really difficult. I-ioflupane …

Voice activity detection (VAD) is an important frontend of many speech processing systems.
In this paper, we describe a new VAD algorithm based on boosted deep neural networks …