Estimation of the fundamental frequency of the speech signal modeled by the SYMPES method
In this paper the results of the estimation of the fundamental frequency of the speech signal modeled by the A Novel Systematic Procedure to Model Speech Signals via Predefined Envelope and Signature Sequences (SYMPES) 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 Catmull-Rom, Greville and Greville two-parametric kernel. Depending on MSE a window that gives optimal results was chosen.
fundamental frequency speech processing signal representation speech compression