Czasopismo | PRZEGLĄD ELEKTROTECHNICZNY | Rocznik 2024 - zeszyt 3

A New Regression Model Applied for Packet Loss Recovery Technique in Real-Time Communications

Nowy model regresji zastosowany do techniki odzyskiwania utraty pakietów w komunikacji w czasie rzeczywistym

10.15199/48.2024.03.22

nr katalogowy: 147744
10.15199/48.2024.03.22

Streszczenie

In the present paper, a new regression model adapted to the G.711-PLC was proposed to avoid deterioration of the synthetic signal caused by the use of the attenuated part of the scale-speech. The method of regression consists of discovering a polynomial of a set of data points to estimate values between points. This method is very useful in applied mathematics for approximations and estimations. The main objective is to investigate methods for enhancing the performance of the G.711-PLC, which is the most commonly used technique for speech transmission in real time. This technique is less efficient due to the fact that the precision of attenuation is insufficient because of the variability of speech signal. For this reason, we implement regression polynomial algorithms into attenuation block. The regression polynomial is performed between the amplitudes and the positions of the peaks / valleys to provide a polynomial model of the signal on the interval in the last good packet before the loss. The results revealed that the proposed algorithm has better performance for the speech quality.

Abstract

W artykule zaproponowano nowy model regresji dostosowany do sterownika G.711-PLC, aby uniknąć pogorszenia sygnału syntetycznego spowodowanego użyciem tłumionej części mowy skali. Metoda regresji polega na odkryciu wielomianu zbioru punktów danych w celu oszacowania wartości pomiędzy punktami. Metoda ta jest bardzo przydatna w matematyce stosowanej do przybliżeń i szacunków. Głównym celem jest zbadanie metod zwiększania wydajności sterownika G.711-PLC, który jest najczęściej stosowaną techniką transmisji mowy w czasie rzeczywistym. Technika ta jest mniej efektywna ze względu na niedostateczną precyzję tłumienia ze względu na zmienność sygnału mowy. Z tego powodu implementujemy algorytmy wielomianu regresji do bloku tłumienia. Wielomian regresji wykonuje się pomiędzy amplitudami i pozycjami szczytów/dolin, aby zapewnić wielomianowy model sygnału w przedziale ostatniego dobrego pakietu przed utratą. Wyniki wykazały, że proponowany algorytm ma lepszą wydajność w zakresie jakości mowy.

Słowa kluczowe

Keywords

Bibliografia

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