Krzysztof Slot

Learn More
An objective of the paper was to determine a set of low-dimensional feature spaces that provide high emotion recognition rates. Candidates for target feature spaces were randomly drawn from a broad pool of speech signal parameters that comprised both commonly used characteristics and newly introduced features. As a result, several four-dimensional feature(More)
— The presented paper is concerned with emotion recognition based on speech signal. Two novel elements introduced in the method are an introduction of novel set of emotional speech descriptors and an application of a binary-tree based classifier, where consecutive emotions are extracted at each node, based on an assessment of feature triplets. The method(More)
—The following paper presents a simple and fast live-ness detection method based on gaze direction estimation under a challenge-response user authentication scenario. To estimate a line of sight, a procedure composed of several steps, including face and eye detection, derivation of gaze direction representation and subsequent classification, has been(More)
—The presented paper is concerned with feature space derivation through feature selection. The selection is performed on results of kernel Principal Component Analysis (kPCA) of input data samples. Several criteria that drive feature selection process are introduced and their performance is assessed and compared against the reference approach, which is a(More)