We investigate classification of non-linguistic vocalisations with a novel audiovisual approach and Long Short-Term Memory (LSTM) Recurrent Neural Networks as highly successful d...
In this paper, we explore the problem of separating and localizing multiple maneuvering speakers in a reverberant environment. Moreover, the speakers can become silent intermitten...
Our goal is to model anatomical variability across individuals, which presents substantial challenges in clinical population studies and in building atlases for segmentation. Base...
A challenging research issue of analyzing networks where packets are served probabilistically, such as multi-access networks and wireless networks, is to characterize the stochasti...
The extraction of local tempo and beat information from audio recordings constitutes a challenging task, particularly for music that reveals significant tempo variations. Further...