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1
Content available Remote Access Environment for Computer Networking Laboratory: Challenges and Solutions
Kuczyński K., Stęgierski R., Suszyński W., Królica D.
Annales Universitatis Mariae Curie-Skłodowska. Sectio AI, Informatica
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2016
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Vol. 16, no. 1
21--29
EN
A variety of network management systems is commercially available. However, their applicability for computer networking laboratories that are used for scientific, educational or engineering purposes (in particular, as a test environment for network-based software engineering) is limited. Also dedicated remote access systems do not offer enough flexibility. Major challenges are discussed in the paper. Most of the proposed solutions have been already implemented and tested.
2
Content available Analysis of surface myoelectric signals by linear prediction method
Suszyński W., Kuniszyk-Jóźkowiak W., Jaszczuk J., Codello I., Stęgierski R., Kuczyński K.
Annales Universitatis Mariae Curie-Skłodowska. Sectio AI, Informatica
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2016
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Vol. 16, no. 1
62--70
EN
The article presents a proposal to use linear prediction method for a quick analysis of surface myoelectric (EMG) signals. The spectra obtained with the linear prediction (LP) and Fourier methods were compared. The LP method allows for a precise determination of the location and amplitude of the spectrum maximum and observation of changes in muscle tension and contraction phases. EMG spectra of brachial biceps during flexion and extension of the forearm by four adults were analyzed. The optimal width of the time window for the averaging of motor unit action potentials that allows for the observation of changes during contraction was established. It has been found that maximum spectrum during flexion has a significantly higher frequency and amplitude than during the extension of the forearm.
3
Content available A new elliptical model of the vocal tract
Kobus A., Kuniszyk-Jóźkowiak W., Smołka E., Suszyński W., Codello I.
Journal of Medical Informatics & Technologies
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2011
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Vol. 17
131--139
EN
In this paper a new model of the vocal tract is proposed. It is based on elliptical cylinders. It uses the vocal tract model based on PARCOR coefficients and midsaggital measurements of the voice tube. PARCOR coefficients were obtained from linear prediction coefficients which had been obtained by Levinson-Durbin method. Midsaggital lengths, understood as the height of a real vocal tract, were taken from X-Ray pictures, and they were averaged from the vocal tracts of a few people, who uttered the same vowels. The paper bases on Polish vowels: a,e,o,u,i,y.
4
Content available Improved approach to automatic detection of speech disorders based on the hidden Markov models approach
Wiśniewski M., Kuniszyk-Jóźkowiak W., Smołka E., Suszyński W.
Journal of Medical Informatics & Technologies
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2010
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Vol. 15
145--152
EN
In the work algorithms commonly utilized in continuous speech recognition systems were applied to detection of speech disorders. The used algorithms were briefly described and the final method of speech disorders detection was presented. The article includes the results of the short test performed in order to check the effectiveness and accuracy of the method. The aim of the test was detection and classification of fricative phonemes prolongation one of the most common speech disorders in the Polish language. It is worth emphasizing that this method enables detection of a category of speech disturbance (e.g. fricative, nasal, vowels, etc… prolongation), but also provides the information about a specific phoneme being disturbed.
5
Content available Workflow for creation of the model human head for forensic face reconstruction
Stęgierski R, Mikołajczak P., Kuczuński K., Suszyński W., Stęgierska D.
Journal of Medical Informatics & Technologies
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2009
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Vol. 13
163--167
EN
Article presents proposal of unified workflow for creation models of human head for usage in deformational method of forensic face reconstruction. Preparation of each model is made in two stages First one is creation of traditional dowel-clay reconstruction, second is in short triangle mesh preparation as a result of digitization. Article should be start point for discussion how obtain best results not only at computer science level but also anthropological. As a long time result we want to create database of standard reconstruction models with main races and genders at least.
6
Content available Automatic detection of prolonged fricative phonemes with the Hidden Markov Models approach
Wiśniewski M., Kuniszyk-Jóźkowiak W., Smołka E., Suszyński W.
Journal of Medical Informatics & Technologies
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2007
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Vol. 11
293--297
EN
The Hidden Markov Model (HMM) is a stochastic approach to recognition of patterns appearing in an input signal. In the work author's implementation of the HMM were used to recognize speech disorders - prolonged fricative phonemes. To achieve the best recognition effectiveness and simultaneously preserve reasonable time required for calculations two problems need to be addressed: the choice of the HMM and the proper preparation of an input data. Tests results for recognition of the considered type of speech disorders are presented for HMM models with different number of states and for different sizes of codebooks.
7
Content available remote Computer-supported individualised therapy of non-fluent speech
Dzieńkowski M., Kuniszyk-Jóźkowiak W., Smołka E., Suszyński W.
Biocybernetics and Biomedical Engineering
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2006
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Vol. 26, no. 4
71-77
EN
The therapy of stuttering people is a time-consuming and long-Iasting process which requires a great effort both from the logopaedist and patient. The process can be divided into three parts: recording of patient's utterances (reading, telling, conversation), 20-minute corrective exercises with the echo (reading, tell ing) and individual work of the stuttering person with difficult words. All of these tasks may be performed with the use of a computer, controlled by a special program elaborated for that purpose. The computer system for the logopaedic diagnosis and therapy (DTL) allows for recording and saving utterances as sound files, practice with acoustical or visual echo and performance of automatically generated tasks adjusted to individual difficulties of particular speakers. Examples of analyses performed at various periods of therapy, i.e. at the beginning, during and after the therapy, supply information conceming e.g. the stuttering intensity and types of the occurring errors. The results presented in this work concern the control recordings performed at 1-1.5-month periods of time for twelve patients.
8
Content available remote Metody akustyczne w diagnozowaniu i terapii zaburzeń mowy
Suszyński W., Kuniszyk-Jóżkowiak W., Smółka E.
Eksploatacja i Niezawodność
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2000
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nr 4(7)
19-28
PL
W artykule przedstawiono przegląd badań nad wykorzystaniem metod akustycznych w diagnozowaniu i terapii zaburzeń mowy. Wykazano, na przykładzie jąkania, przydatność analiz sygnału w dziedzinie czasu i częstotliwości w praktyce logopedycznej. Z porównania przebiegów spektralnych i wyznaczonych częstotliwości i poziomów formantów w wypowiedziach płynnych i niepłynnych można wnioskować o zaburzeniach w ustawieniu artykulatorów. Scharakteryzowano parametry struktury czasowej istotne w ocenie zaburzenia płynności mowy oraz rolę amplitudowej obwiedni w terapii przy wykorzystaniu słuchowego i pozasłuchowych kanałów kontroli. Omówiono postępy prac nad wizualizacją opóźnionych sygnałów mowy do celów terapii jąkania.
EN
In the article a review of research on the employment of acoustic methods in the diagnosis and therapy of speech disorders is presented. On the example of stuttering, it has been shown that signal analysis concerning time and frequency are useful in logopaedic practice. From the comparison of spectral courses as well as frequencies and formant levels, articulator position disorders may be inferred. Time structure parameters have been characterised, which are significant in fluency assessment, as well as the role of amplitude envelope in therapy with the use of auditory and extra auditory control channels. Progress in works on visualisation of delayed speech signals for stuttering therapy has also been described.
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