In this article, we propose to predict human eye fixation through incorporating both audio
and visual cues. Traditional visual attention models generally make the utmost of stimuli's …

Accurate and infrastructure-free indoor positioning can be very useful in a variety of
applications. However, most existing approaches (eg, WiFi and infrared-based methods) for …

Active speaker detection and speech enhancement have become two increasingly attractive
topics in audio-visual scenario understanding. According to their respective characteristics …

In acoustic event detection, the training data size of some acoustic events is often small and
imbalanced. To deal with this, this paper proposes generating the virtual training data …

Contemporary automatic speaker recognition (ASR) systems do not provide 100% accuracy
making it imperative to explore different techniques to improve it. Easy access to mobile …

Support vector machine has obtained more and more attentions as a new method of
machine learning based on the statistic learning theory. At the same time, there are …

Speaker diarization (SD) is the process of assigning speech segments of an audio stream to
its corresponding speakers, thus comprising the problem of voice activity detection (VAD) …

Sound source localization has always been one of the most challenging subjects in different
fields of engineering, one of the most important of which being tracking of flying objects. This …

Nowadays, the large amount of audio-visual content available has fostered the need to
develop new robust automatic speaker diarization systems to analyse and characterise it …

Tasks that rely on multi-modal information typically include a fusion module that combines
information from different modalities. In this work, we develop a Refiner Fusion Network …