Analysis and compensation of packet loss in distributed speech recognition using interleaving
Ben P. Milner, Alastair Bruce James · 2003
The aim of this work is to improve the robustness of speech recognition systems operating in burst-like packet loss. First a set of highly artificial packet loss profiles are used to analyse their effect on both recognition performance and on the underlying feature vector stream. This indicates that the simple technique of vector repetition can make the recogniser robust to high percentages of packet loss, providing burst lengths are reasonably short. This leads to the proposal of interleaving the feature vector sequence, prior to packetisation, to disperse bursts of packet loss throughout the feature vector stream.