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2 2013

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Comparison of Two Goal-Oriented Methods for the Evaluation of the Text-Line Segmentation Algorithms

Brodić D., Milivojević Z. N., Milivojević D. R.

Przegląd Elektrotechniczny

2013

R. 89, nr 6

66--71

Text line segmentation process represents the key step in the optical character recognition. Hence, the efficiency evaluation procedure for text line segmentation algorithms is the challenge. Text line segmentation process is established by the algorithms application to the text dataset. Furthermore, two goal-oriented methods for the evaluation of the text line segmentation results based on extended errors type and binary classification are explained. The paper presents the main points of the provided analyses and results discussion. The results confirm the superiority of the extended errors type over binary classification evaluation method.

Przedstawiono analizę algorytmów segmentacji linii tekstu. Analizowano dwie metody – analizy błędu i binarnej klasyfikacji. Wykazano przewagę pierwszej z tych metod.

Estimation of the Fundamental Frequency of the Speech Signal Compressed by MP3 Algorithm

Milivojević Z. N., Brodić D.

Archives of Acoustics

2013

Vol. 38, No. 3

363--373

The paper analyzes the estimation of the fundamental frequency from the real speech signal which is obtained by recording the speaker in the real acoustic environment modeled by the MP3 method. The estimation was performed by the Picking-Peaks algorithm with implemented parametric cubic convolution (PCC) interpolation. The efficiency of PCC was tested for Catmull-Rom, Greville, and Greville two- parametric kernel. Depending on MSE, a window that gives optimal results was chosen.