Estimation of short term prediction parameters under lossy conditions

Abstract

The inconsistencies inherent in packet switched network delivery can be seriously detrimental to the quality of a real-time speech transmission. This paper places its emphasis on the importance of the short term prediction (STP) filter parameters as these are perceptually important to intelligible speech. We introduces several novel schemes for the recovery of lost STP parameters represented as line spectral frequencies (LSFs) based on extrapolation and interpolation techniques. The unique inclusion of a number of past and/or future frames further commends this work. Methods which outperforms the traditional frame repetition and linear interpolation in terms of accuracy are presented and evaluated.