Packet Loss Concealment Estimating Residual Errors of Forward-Backward Linear Prediction for Bone-Conducted Speech

Abstract

"This study proposes a suitable model for packet

loss concealment (PLC) by estimating the residual error of the

linear prediction (LP) method for bone-conducted (BC) speech.

Instead of conventional LP-based PLC techniques where the

residual error is ignored, we employ forward-backward linear

prediction (FBLP), known as the modified covariance (MC)

method, by incorporating the residual error estimates. The MC

method provides precise LP estimation for a short data length,

reduces the numerical difficulties, and produces a stable model,

whereas the conventional autocorrelation (ACR) method of LP

suffers from numerical problems. The MC method has the effect

of compressing the spectral dynamic range of the BC speech,

which improves the numerical difficulties. Simulation results

reveal that the proposed method provides excellent outcomes from

some objectiv"