Ewa Łukasik
Ewa Łukasik
確認したメール アドレス: cs.put.poznan.pl
タイトル
引用先
引用先
Wavelet packets based features selection for voiceless plosives classification
E Lukasik
2000 IEEE International Conference on Acoustics, Speech, and Signal …, 2000
282000
Automatic music summarization. A" thumbnail" approach
J Glaczynski, E Lukasik
Archives of Acoustics 36 (2), 297-309, 2011
162011
AMATI–Multimedia database of violin sounds
E Łukasik
Proc. Stockholm Music Acoust. Conf, 79-82, 2003
162003
Long term cepstral coefficients for violin identification
E Lukasik
Audio Engineering Society Convention 128, 2010
122010
Towards timbre-driven semantic retrieval of violins
E Lukasik
5th International Conference on Intelligent Systems Design and Applications …, 2005
122005
AMATI-multimedia database of violin sounds
E Lukasik
Proc Stockholm Music Acoustics Conference, KTH Stockholm (2003a), 79-82, 2003
112003
JAVA library for automatic musical instruments recognition
P Aniola, E Lukasik
Audio Engineering Society Convention 122, 2007
102007
Inducing jury’s preferences in terms of acoustic features of violin sounds
J Jelonek, E Łukasik, A Naganowski, R Słowiński
International Conference on Artificial Intelligence and Soft Computing, 492-497, 2004
102004
Mpeg-7 audio spectrum basis as a signature of violin sound
A Kaminiarz, E Łukasik
2007 15th European Signal Processing Conference, 1541-1545, 2007
72007
Classification of voiceless plosives using wavelet packet based approaches
E Lukasik
2000 10th European Signal Processing Conference, 1-4, 2000
52000
Comparison of Some Time-Frequency Analysis Methods for Classification of Plosives,
E Łukasik, S Grocholewski
Signal Processing, Theories and Applications, 709-13, 1998
51998
Two-pass robust pitch extraction algorithm using the dyadic wavelet transform
E Łukasik, S Grocholewski
Signal Processing VII: Theories and Applications, 1681-1684., 1994
51994
Evaluating contour segment descriptors
C Yang, O Tiebe, K Shirahama, E Łukasik, M Grzegorzek
Machine Vision and Applications 28 (3-4), 373-391, 2017
42017
Mobile system for optical music recognition and music sound generation
J Adamska, M Piecuch, M Podgórski, P Walkiewicz, E Lukasik
IFIP International Conference on Computer Information Systems and Industrial …, 2015
42015
Matching violins in terms of timbral features
E Lukasik
ARCHIVES OF ACOUSTICS 31 (4), 227-233, 2006
4*2006
Unsupervised Machine Learning Methods in Timbral Violin Characteristics Visualization
E., Lukasik, R., Susmaga
Stockholm Music Acoustics Conference SMAC 2003, 83-86, 2003
42003
Multimedia Database of Violin Sounds
E Lukasik
Proc. SMAC 3, 79-82, 2002
42002
Low cost real time digital spectrograph, .
S Grocholewski, E Łukasik, J Ogórkiewicz
Int. Conf. on DSP Applications and Technology, Berlin., 590-597, 1991
41991
Skeleton-based audio envelope shape analysis
C Yang, O Tiebe, M Grzegorzek, E Łukasik
2015 3rd IAPR Asian Conference on Pattern Recognition (ACPR), 514-518, 2015
32015
Representing the evolving temporal envelope of musical instruments sounds using Computer Vision methods
C Yang, M Grzegorzek, E Łukasik
2015 Signal Processing: Algorithms, Architectures, Arrangements, and …, 2015
32015
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