Compressive Sampling for the Packet Loss Recovery in Audio Multimedia Streaming

TL;DR

This paper proposes a novel compressive sampling-based method for recovering lost audio data in multimedia streaming, demonstrating effectiveness through experiments on speech and music signals.

Contribution

It introduces a new schema utilizing compressive sampling for packet loss recovery in audio streaming, enhancing data reconstruction capabilities.

Findings

Effective recovery of lost audio packets demonstrated

Improved audio quality in streaming scenarios shown

Method outperforms traditional packet recovery techniques

Abstract

The aim of this paper is to introduce a new schema, based on a Compressive Sampling technique, for the recovery of lost data in multimedia streaming. The audio streaming data are encapsuled in different packets by using an interleaving technique. The Compressive Sampling technique is used to recover audio information in case of lost packets. Experimental results are presented on speech and musical audio signals to illustrate the performances and the capabilities of the proposed methodology.