In this paper, we examine the problem of text-independent open-set speaker identification (OS-SI) in broadcast news. Particularly, the impact of the population of registered speak...
Chao Gao, Guruprasad Saikumar, Amit Srivastava, Pr...
Sparsity in the eigenspace of signal covariance matrices is exploited in this paper for compression and denoising. Dimensionality reduction (DR) and quantization modules present i...
This paper relates the style of 16th century Flemish paintings by Goossen van der Weyden (GvdW) to the style of preliminary sketches or underpaintings made prior to executing the ...
Josephine Wolff, Maximiliaan Martens, Sina Jafarpo...
This paper presents ongoing research leveraging forensic methods for automatic speaker recognition. Some of the methods forensic scientists employ include identifying speaker dist...
Kyu J. Han, Mohamed Kamal Omar, Jason W. Pelecanos...
We propose a novel semi-supervised classifier for handwritten digit recognition problems that is based on the assumption that any digit can be obtained as a slight transformation...