This paper presents a Bayesian approach for Gaussian mixture model (GMM)-based speaker identification. Some approaches evaluate the speaker score of a test speech utterance using ...
The wide diffusion of new technologies in communication and business has changed how consumer and product/store knowledge has to be managed and represented digitally. This issue h...
Pierpaolo Singer, Maria Antonella Ferri, Lucia Aie...
This paper presents a solution to the problem of unsupervised classification of dynamic obstacles in urban environments. A track-based model is introduced for the integration of 2...
Abstract. Increasing integration densities and the emergence of nanotechnology cause issues related to reliability and power consumption to become dominant factors for the design o...
Tim Wegner, Claas Cornelius, Andreas Tockhorn, Dir...
The fast Gauss transform allows for the calculation of the sum of N Gaussians at M points in O(N + M) time. Here, we extend the algorithm to a wider class of kernels, motivated by ...
Marina Spivak, Shravan K. Veerapaneni, Leslie Gree...