Chronic Respiratory diseases, mainly asthma and Chronic Obstructive Pulmonary Disease (COPD), affect the lives of people by limiting their activities in various aspects. Overcrowding of hospital emergency departments (EDs) ...

Automatically recognizing activities in a video is a long standing goal of computer vision and artificial intelligence. Recently, breakthroughs in deep learning have revolutionized the field of computer vision and today ...

In recent years, there has been a significant increase in the popularity of voice-enabled technologies which use human speech as the primary interface with machines. Recent advancements in acoustic modeling and feature ...

Graphics processing units (GPUs) are being widely used as co-processors in many domains to accelerate general-purpose workloads that are data-parallel and computationally intensive, i.e., GPGPU. An emerging usage domain ...

Speech emotion recognition solutions designed under controlled conditions do not translate well into real-life applications. The first step to address this issue is developing a large, natural emotional database. Current ...

With the improvement in processing systems, machine learning applications are finding widespread use in almost all sectors of technology. Image recognition is one application of machine learning which has become widely ...

Automatic facial expression recognition (FER) and emotion recognition have aroused many researchers’ interest in a variety of research fields because of an important role in human centered interfaces and the advent of ...

Speech processing systems are widely used in existing commercial applications, including virtual assistants in smartphones and home assistant devices. Speech-based commands provide convenient hands-free functionality for ...

Evaluation of capacity fade in Li-ion batteries in the ballparks of energy research has assumed significant importance in recent times extensively owing to growing demand and need for portable power supplies and electric ...

Speaker diarization is an unsupervised task that determines "who spoke and when" within input audio stream. It consists of four sub-systems: (i) speech activity detection (SAD); (ii) speaker segmentation and modeling; ...