Dorota Kaminska

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— The following paper presents parameterization of emotional speech using perceptual coefficients as well as a comparison of Mel Frequency Cepstral Coefficients (MFCC), Bark Frequency Cepstral Coefficients (BFCC), Perceptual Linear Prediction Coefficients (PLP) and Revised Perceptual Linear Prediction Coefficients (RPLP). Analysis was performed on two(More)
This paper presents a system for automatic bird identification, which uses audio input. The experiments have been conducted on three groups of birds, which were created basing finishing on classification, the system is fully automated. The main problem in automatic bird recognition (ABR) is the choice of proper features and classifiers. Identification has(More)
The flood of scientific information increases the risk of research findings distortion. The authors brought attention to the possible pitfalls of statistical inference in biomedical research. Due to intentional or non-intentional errors in study design and size, data collection and inappropriate statistical analysis some of research findings are false or(More)
The purpose of this paper is to present an original approach to research on emotion recognition using a multimodal input. Additionally, a paradigm of creating a therapeutic tool for behavioural rehabilitation is presented. The research material should consist of audio, video and EEG signals, as well as point cloud data extracted from a 3d sensor. It should(More)
Research in emotional speech recognition is generally focused on analysis of a set of primary emotions. However, it is clear that spontaneous speech, which is more intricate comparing to acted out utterances, carries information about emotional complexity or degree of their intensity. This research refers to the theory of Robert Plutchik, who suggested the(More)
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