<abstract xml:lang="en" xmlns="http://www.w3.org/1999/xhtml"><p>In this paper the results of the estimation of the fundamental frequency of the speech signal modeled by the G.723.1 method are analyzed. The estimation of the fundamental frequency was performed by the Peaking-Peaks algorithm with the implemented Parametric Cubic Convolution (PCC) interpolation. The efficiency of PCC was tested for Keys, Greville and Greville two-parametric kernel. Depending on MSE a window that gives optimal results was chosen.</p></abstract>

In this paper the results of the estimation of the fundamental frequency of the speech signal modeled by the G.723.1 method are analyzed. The estimation of the fundamental frequency was performed by the Peaking-Peaks algorithm with the implemented Parametric Cubic Convolution (PCC) interpolation. The efficiency of PCC was tested for Keys, Greville and Greville two-parametric kernel. Depending on MSE a window that gives optimal results was chosen.

Estimation of the Fundamental Frequency of the Speech Signal Compressed by G.723.1 Algorithm Applying PCC Interpolation

Technical College, Aleksandra Medvedeva 20, Niš, Serbia

Technical Faculty Bor, University of Belgrade, Vojske Jugoslavije 12, 19210 Bor, Serbia

Journal of Electrical Engineering

In this paper the results of the estimation of the fundamental frequency of the speech signal modeled by the G.723.1 method are analyzed. The estimation of the...

Estimation of the Fundamental Frequency of the Speech Signal Compressed by G.723.1 Algorithm Applying PCC Interpolation

Publié en ligne: 26 août 2011

Pages: 181 - 189

DOI: https://doi.org/10.2478/v10187-011-0030-2

Mots clés
speech processing, signal representation, speech compression, fundamental frequency, VoIP

This content is open access.

Estimation of the Fundamental Frequency of the Speech Signal Compressed by G.723.1 Algorithm Applying PCC Interpolation

Publié en ligne: 26 août 2011

Pages: 181 - 189

DOI: https://doi.org/10.2478/v10187-011-0030-2

Mots clésspeech processing, signal representation, speech compression, fundamental frequency, VoIP

This content is open access.

Mots clés
speech processing, signal representation, speech compression, fundamental frequency, VoIP