This descriptive study conducts basic research to create an original analysis of the possible disruptive impact of game design, mobile devices, social networking and emerging media technologies on location-based entertainment ...

Speech Source Localization (SSL) (or Direction of Arrival estimation) is a powerful pre-processing tool that helps identify the direction of the talker of interest in a noisy environment using multiple fixed microphones ...

Speech Enhancement (SE) is elemental in many real world applications. In the last two decades, extensive studies have been carried out on single and multi-channel SE techniques. In this thesis, three novel SE algorithms ...

Speech Enhancement (SE) is a vital algorithmic component in the Hearing Aid pipeline. Over the years, several algorithms have been developed to work in real-time and to improve the quality and intelligibility of speech. ...

This thesis covers the integration of several signal processing modules that appear in digital hearing aids as real-time smartphone apps. The modules that are considered for integration in the developed apps in this ...

Acoustic feedback stems from acoustic coupling between the loudspeaker and microphone in hearing systems. Unpleasant outcomes of acoustic feedback, such as howling and whistling sounds, are major complaints of people ...

Speech Enhancement (SE) is a key module in the Hearing Aid (HA) signal processing pipeline and improves the listening comfort. Over the last few decades, researchers have developed many single and dual-microphone SE ...

Dynamic-range compression (DRC) is an important component in hearing aid devices (HADs). Research of multi-channel DRC design and real-time implementation has been carried out in the last few decades. The trade-offs of ...

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 ...

In many pattern recognition or machine learning applications, deep learning models or deep neural networks have provided superior performance relative to feature-based classifiers. Although there exist a number of publicly ...