Krzysztof Slot

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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 has(More)
An objective of the paper was to determine a set of lowdimensional 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 following paper proposes a set of novel feature selection criteria that can be applied to kernel Principal Component Analysis (kPCA) outcome to derive discriminative feature spaces for complex classification problems, such as biometric recognition tasks. The proposed class-separation criteria that are used to evaluate distributions of samples, which are(More)
The following paper presents a new direction that opens for deformable grid-based object recognition methods, due to introduction of their efficient, parallel implementations. A substantial increase in object recognition performance can be expected when several different features are used to build a class prototype. This would imply extending complexity of(More)
The following paper explores possibilities of using geodesic distance-based description of two-dimensional image objects. The main idea of the proposed representation is to create a set of equally-spaced contours composed of image points that are equidistant, in terms of geodesic distance, from the object's boundary. Due to geodesic distance properties, the(More)