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In this paper we have proposed a color indexing scheme for image classification and retrieval using color features. Experiments were made on the Corel 1000 database, for three different color spaces, LAB, HSV and RGB. In our tests, for image classification, two discriminative classifiers, k-NN (k - Nearest Neighborhood) and SVM (Support Vector Machine) were used. Two new distances were defined and...
In this paper we present experiments made on an extension of a well-known simple global color criterion and we present the results obtained in iris recognition on two known iris databases, UBIRIS and UPOL. All tests were done for three different color spaces, RGB, HSV and LAB, and two discriminative classifiers, k-NN (k - Nearest Neighborhood) and SVM (Support Vector Machine) were used in our experiments...
The paper describes an experimental study on emotion recognition using a collection of emotional recordings from SRoL corpus. Its goal is to study and to obtain a simple tool that can be used in recordings validation in the process of building large voice corpora. The tools can help or even replace the human validation. In this study we used two classifiers, k-NN (k — Nearest Neighborhood) and SVM...
The work on emotion recognition and models evaluation requires large corpora with recordings of emotional voices. The objective of this paper is to show a simple technique of automatic data validation that can be used in the development of a speech corpus. The paper describes an experimental study for a speech corpus development using two collections of data for vocal emotion expression with three...
The paper is focused on automatic detection of fury emotion in audio records, using data extracted from the vocalic analysis of formants. We have studied speech prosody and voice inflexions and we recognised fury using classification algorithms applied to two databases, one with professional voices and another with normal voices, both of them recorded on the base of selected texts in Romanian language...
In this paper we propose an automatic method for computing the bin boundaries of complex 3D LAB histograms in order to extract optimal color feature vectors from digital images. The size of the feature vectors can be adapted to particular application needs. We tested our approach with very good results on an iris recognition problem solved empirically before.
Automatic detection of a depression state, studying voice inflexions and speech prosody, is carried out in this paper, using data extracted from the vocalic analysis of formants. We've done an important number of tests for depression detection using a K-Nearest Neighborhood algorithm run upon two databases with professional and normal voices recorded on selected texts in Romanian language. The selected...
We present the WinICC software package, designed to help in tasks like clusterization or classification of images based on different feature vectors. The capabilities of this software are proven on a classification test involving 1.205 already segmented iris images belonging to 241 persons (five iris images per person - part of the UBIRISv1 Internet available database). We used the k-NN feature of...
A methodology and an application for acoustic analysis of Romanian language vowels, for different emotional states and different vowel location in words, are presented. The application can be useful for expressivity analysis, speech synthesis and the speech to text approach. We focus on the data structures inside the software for annotation analysis of speech files. The formant statistical characteristic...
A novel approach to find the combination of acoustic features producing a more robust automatic recognition of a speaker emotion is proposed. Four discrete emotional states are classified. The emotional speech corpora used for training and evaluation are described in detail. The emotion recognition model using acoustic features is presented. The results achieved are presented and discussed.
In this paper we consider some aspects of the duration variation that appear between different pronunciations of the same sentence for different speakers, in four emotional states, joy, fury, sadness and neutral tone. The goal is to present in detail the methodology, the tools, the used data and some results obtained in this study. The methodology used allows a refinement in the analysis of voice...
In this study, methodological aspects of a study on /a/ vowel using formants and duration according with emotional expressiveness in Romanian language are presented. The emotional states we considered are joy, fury, sadness and neutral tone. The methodology and the WinCollections program are described. We present the contexts considered for the vowel / a /. The results obtained are shown and some...
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