Fundamental Frequency Estimation of the Speech Signal Compressed by MP3 Algorithm Using PCC Interpolation | Zendy

Zoran Milivojević | Zendy; Milorad Dj. Mirković | Zendy; Sladjana M. Milivojevic | Zendy

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Fundamental Frequency Estimation of the Speech Signal Compressed by MP3 Algorithm Using PCC Interpolation

Author(s) -

Zoran 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

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