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ORCIDWieslawa Kuniszyk-Józkowiak
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2020 – today
- 2022
[j23]Izabela Swietlicka
, Wieslawa Kuniszyk-Józkowiak, Michal Swietlicki:
Artificial Neural Networks Combined with the Principal Component Analysis for Non-Fluent Speech Recognition. Sensors 22(1): 321 (2022)
2010 – 2019
- 2016
- [j22]Lukasz Kwasniewicz, Wieslawa Kuniszyk-Józkowiak, Grzegorz M. Wójcik, Jolanta Masiak:
Adaptation of the humanoid robot to speech disfluency therapy. Bio Algorithms Med Syst. 12(4): 169-177 (2016) - [j21]Waldemar Suszynski, Wieslawa Kuniszyk-Józkowiak, Ireneusz Codello, Rafal Stegierski, Karol Kuczynski, Janusz Jaszczuk:
Analysis of surface myoelectric signals by linear prediction method. Ann. UMCS Informatica 16(1): 62 (2016) - 2015
- [c4]Adam Kobus, Wieslawa Kuniszyk-Józkowiak, Ireneusz Codello:
Automatic Syllable Repetition Detection in Continuous Speech Based on Linear Prediction Coefficients. CORES 2015: 295-304 - 2013
- [j20]Izabela Swietlicka, Wieslawa Kuniszyk-Józkowiak, Elzbieta Smolka:
Hierarchical ANN system for stuttering identification. Comput. Speech Lang. 27(1): 228-242 (2013) - [c3]Ireneusz Codello, Wieslawa Kuniszyk-Józkowiak, Elzbieta Smolka, Adam Kobus:
Automatic Disordered Syllables Repetition Recognition in Continuous Speech Using CWT and Correlation. CORES 2013: 867-876 - [c2]Adam Kobus, Wieslawa Kuniszyk-Józkowiak, Elzbieta Smolka, Ireneusz Codello, Waldemar Suszynski:
The Prolongation-Type Speech Non-fluency Detection Based on the Linear Prediction Coefficients and the Neural Networks. CORES 2013: 887-897 - 2012
- [j19]Mariusz Maciuk, Wieslawa Kuniszyk-Józkowiak, Anna Doboszynska, Marta Maciuk:
Analysis of lung auscultatory phenomena using the Wigner-Ville Distribution. Ann. UMCS Informatica 12(1): 7-16 (2012) - [j18]Wieslawa Kuniszyk-Józkowiak, Janusz Jaszczuk, Tomasz Sacewicz, Ireneusz Codello:
Time-frequency Analysis of the EMG Digital Signals. Ann. UMCS Informatica 12(2): 19-25 (2012) - [j17]Ireneusz Codello, Wieslawa Kuniszyk-Józkowiak, Elzbieta Smolka, Adam Kobus:
Automatic disordered sound repetition recognition in continuous speech using CWT and kohonen network. Ann. UMCS Informatica 12(2): 39-48 (2012) - 2010
- [j16]Ireneusz Codello, Wieslawa Kuniszyk-Józkowiak:
Formant paths tracking using Linear Prediction based methods. Ann. UMCS Informatica 10(2): 7-12 (2010) - [j15]Ireneusz Codello, Wieslawa Kuniszyk-Józkowiak, Adam Kobus:
Kohonen networks application in speech analysis algorithms. Ann. UMCS Informatica 10(2): 13-19 (2010) - [c1]Ireneusz Codello, Wieslawa Kuniszyk-Józkowiak, Elzbieta Smolka, Adam Kobus:
Prolongation Recognition in Disordered Speech using CWT and Kohonen Network. IJCCI (ICFC-ICNC) 2010: 392-398
2000 – 2009
- 2009
- [j14]Izabela Szczurowska, Wieslawa Kuniszyk-Józkowiak, Elzbieta Smolka:
Speech nonfluency detection using Kohonen networks. Neural Comput. Appl. 18(7): 677-687 (2009) - [p4]Mariusz Dzienkowski, Wieslawa Kuniszyk-Józkowiak, Elzbieta Smolka, Waldemar Suszynski:
Computer Visual-Auditory Diagnosis of Speech Non-fluency. Computer Recognition Systems 3 2009: 35-42 - [p3]Izabela Swietlicka, Wieslawa Kuniszyk-Józkowiak, Elzbieta Smolka:
Artificial Neural Networks in the Disabled Speech Analysis. Computer Recognition Systems 3 2009: 347-354 - 2008
- [j13]Ireneusz Codello, Wieslawa Kuniszyk-Józkowiak, Tomasz Gryglewicz, Waldemar Suszynski:
Utterance intonation imaging using the cepstral analysis. Ann. UMCS Informatica 8(1): 157-163 (2008) - [p2]Marek Wisniewski, Wieslawa Kuniszyk-Józkowiak, Elzbieta Smolka, Waldemar Suszynski:
Automatic Detection of Disorders in a Continuous Speech with the Hidden Markov Models Approach. Computer Recognition Systems 2 2008: 445-453 - [p1]Izabela Szczurowska, Wieslawa Kuniszyk-Józkowiak, Elzbieta Smolka:
Articulation Rate Recognition by Using Artificial Neural Networks. Computer Recognition Systems 2 2008: 771-777 - 2007
- [j12]Ireneusz Codello, Wieslawa Kuniszyk-Józkowiak:
Wavelet analysis of speech signal. Ann. UMCS Informatica 6(1): 103-115 (2007) - [j11]Marek Wisniewski, Wieslawa Kuniszyk-Józkowiak, Elzbieta Smolka, Waldemar Suszynski:
Automatic detection of speech disorders with the use of Hidden Markov Model. Ann. UMCS Informatica 7(1): 91-100 (2007) - 2006
- [j10]Elzbieta Smolka, Wieslawa Kuniszyk-Józkowiak, Mariusz Dzienkowski, Waldemar Suszynski, Marek Wisniewski:
Vowel recognition in continuous speech with application of MLP neural network. Ann. UMCS Informatica 5(1): 291-299 (2006) - [j9]Marek Wisniewski, Wieslawa Kuniszyk-Józkowiak, Elzbieta Smolka, Waldemar Suszynski:
Computer program for visual diagnosis of the speech disorders. Ann. UMCS Informatica 5(1): 301-308 (2006) - [j8]Ireneusz Codello, Wieslawa Kuniszyk-Józkowiak:
Digital signals analysis with the LPC method. Ann. UMCS Informatica 5(1): 315-321 (2006) - 2005
- [j7]Waldemar Suszynski, Wieslawa Kuniszyk-Józkowiak, Elzbieta Smolka, Mariusz Dzienkowski:
Speech disfluency detection with the correlative method. Ann. UMCS Informatica 3(1): 132-138 (2005) - [j6]Marek Wisniewski, Wieslawa Kuniszyk-Józkowiak, Elzbieta Smolka, Waldemar Suszynski:
Vision echo. Ann. UMCS Informatica 3(1): 139-144 (2005) - 2004
- [j5]Waldemar Suszynski, Wieslawa Kuniszyk-Józkowiak, Elzbieta Smolka, Mariusz Dzienkowski:
Automatic recognition of non-fluent stops. Ann. UMCS Informatica 2(1): 183-189 (2004) - [j4]Mariusz Dzienkowski, Wieslawa Kuniszyk-Józkowiak, Elzbieta Smolka, Waldemar Suszynski:
Computer speech echo-corrector. Ann. UMCS Informatica 2(1): 315-322 (2004) - 2003
- [j3]Mariusz Dzienkowski, Wieslawa Kuniszyk-Józkowiak, Elzbieta Smolka, Waldemar Suszynski:
Computer programme for speech impediment diagnosis and therapy. Ann. UMCS Informatica 1(1): 16-24 (2003) - [j2]Elzbieta Smolka, Wieslawa Kuniszyk-Józkowiak, Waldemar Suszynski, Mariusz Dzienkowski:
Speech syllabic structure extraction with application of Kohonen network. Ann. UMCS Informatica 1(1): 113-119 (2003) - [j1]Waldemar Suszynski, Wieslawa Kuniszyk-Józkowiak, Elzbieta Smolka, Mariusz Dzienkowski:
Prolongation detection with application of fuzzy logic. Ann. UMCS Informatica 1(1): 120-127 (2003)
Coauthor Index
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