Ewa Lukasik

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  • Ewa Lukasik
  • 5th International Conference on Intelligent…
  • 2005
The paper presents an attempt to match signal processing derived features to the higher-level (linguistic) description of timbre in order to support the timbre driven retrieval of violins. The experiments are performed on a set of 53 instruments recorded during the 10/sup th/ Henryk Wieniawski International Violinmakers Competition held in Poznan, Poland,(More)
  • Ewa Lukasik
  • 2000 10th European Signal Processing Conference
  • 2000
There are contradictory reports on the usefulness of the Wavelet Packet Transform for feature extraction. In this paper we continue the investigation of this subject with reference to non-stationary speech signals, namely unvoiced plosive consonants /p/,/t/, /k/. We concentrate on the influence of the feature reduction method on the classification rate. Two(More)
The goal of the paper is to examine how robust MPEG-7 Audio Spectrum Basis features are as signatures of instruments from the same group. Instruments analyzed are contemporary concert violins competing in the international violinmaker competition. They have been recorded for research purposes, thus the set of sounds for each instrument and recording(More)
  • Ewa Lukasik
  • 1996 8th European Signal Processing Conference…
  • 1996
The paper presents results of analysis of certain quasi stationary and non stationary signals using Gabor transform and Gabor spectrogram. Initial results are based on the original programs realising Gabor transform, whereas the main part of the work — the comparative analysis of signals by Gabor spectrograms of higher orders and other time-frequency(More)
The paper deals with the context independent recognition of unvoiced plosives (/p/, /t/, /k/). In several solutions the best feature vectors are being sought in the burst segments of plosives. It has been proved that the difference between stops fade out very quickly after the burst onset. The short time of the burst duration implies the need of the higher(More)