Open AccessFundamental Frequency Estimation of the Speech Signal Compressed by MP3 Algorithm Using PCC Interpolation
Author(s) -
Zoran N. Milivojević,
Milorad Dj. Mirković,
Sladjana M. Milivojevic
Publication year - 2010
Publication title -
advances in electrical and computer engineering
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.254
H-Index - 23
eISSN - 1844-7600
pISSN - 1582-7445
DOI - 10.4316/aece.2010.01003
Subject(s) - interpolation (computer graphics) , computer science , algorithm , speech recognition , signal (programming language) , compressed sensing , speech coding , speech processing , signal processing , artificial intelligence , digital signal processing , computer hardware , programming language , motion (physics)
In this paper the fundamental frequency estimation results of the MP3 modeled speech signal are analyzed. The estimation of the fundamental frequency was performed by the Picking-Peaks algorithm with the 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