Deep belief networks based voice activity detection
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 …
activity detection (VAD). Recently, the machine-learning-based VADs have shown a …
Voice activity detection. fundamentals and speech recognition system robustness
An important drawback affecting most of the speech processing systems is the
environmental noise and its harmful effect on the system performance. Examples of such …
environmental noise and its harmful effect on the system performance. Examples of such …
Computer-aided diagnosis of Alzheimer's type dementia combining support vector machines and discriminant set of features
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 …
approximately 30 million individuals worldwide. With the growth of the older population in …
18F-FDG PET imaging analysis for computer aided Alzheimer's diagnosis
Finding sensitive and appropriate technologies for non-invasive observation and early
detection of Alzheimer's disease (AD) is of fundamental importance to develop early …
detection of Alzheimer's disease (AD) is of fundamental importance to develop early …
SVM-based CAD system for early detection of the Alzheimer's disease using kernel PCA and LDA
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 …
clinicians in the early Alzheimer's disease (AD) diagnosis challenge. However, AD detection …
[PDF][PDF] Voice activity detection using MFCC features and support vector machine
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 …
the support vector machine (SVM). Challenges in SVM-based approach include selection of …
GMM based SPECT image classification for the diagnosis of Alzheimer's disease
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 …
models (GMM) for the diagnosis of Alzheimer's disease. The aims of the model-based …
Alzheimer's diagnosis using eigenbrains and support vector machines
An accurate and early diagnosis of the Alzheimer's Disease (AD) is of fundamental
importance for the patients medical treatment. Single Photon Emission Computed …
importance for the patients medical treatment. Single Photon Emission Computed …
Application of empirical mode decomposition (EMD) on DaTSCAN SPECT images to explore Parkinson disease
Parkinsonism is the second most common neurodegenerative disorder. It includes several
pathologies with similar symptoms, what makes the diagnosis really difficult. I-ioflupane …
pathologies with similar symptoms, what makes the diagnosis really difficult. I-ioflupane …
[PDF][PDF] Boosted deep neural networks and multi-resolution cochleagram features for voice activity detection
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 …
In this paper, we describe a new VAD algorithm based on boosted deep neural networks …