In this paper, we propose a novel method for rapid feature space Maximum Likelihood Linear Regression (FMLLR) speaker adaptation based on bilinear models. When the amount of adapt...
Recent advances in scene understanding and related tasks
have highlighted the importance of using regions to reason
about high-level scene structure. Typically, the regions are
...
— Representation of knowledge within a neural model is an active field of research involved with the development of alternative structures, training algorithms, learning modes an...
Abstract. Prosody has been actively studied as an important knowledge source for speech recognition and understanding. In this paper, we are concerned with the question of exploiti...
Human geospatial activities often involves the use of geographic information in mobile environment where the context of technology use is dynamic, complex, and unstable, creating ...