Compressed Domain Packet Loss Concealment of Sinusoidally Coded Speech

In this paper we consider the problem of packet loss concealment for Voice over IP (VoIP). The speech signal is compressed at the transmitter using A sinusoidal coding scheme working at 8 kbit/s. At the receiver, packet loss concealment is carried out working directly on the quantized sinusoidal parameters, based on time-scaling of the packets surrounding the missing ones. Subjective listening tests show promising results indicating the potential of sinusoidal speech coding for VoIP

Prediction of Bandwidth and Additive Metrics for Large Scale Network Tomography

ABSTRACT For real time communication services over the Internet, it is important to be able to predict in advance the quality of a call before relaying it over a particular path. In this paper we show how to predict the distribution of the end-to-end bandwidth, latency, jitter, and loss of a call from an arbitrary user X to an arbitrary user Y through particular components of the Internet, given a dataset of millions of calls among other users. This work is the first to infer component bandwidth distributions for an arbitrary network topology, and the first to infer component bandwidth and additive metric distributions for an arbitrary network topology at large scale. On a dataset of over seven million global Skype calls, we demonstrate significant performance improvement compared to a baseline approach used in today's commercial systems

Preface

This document is a reduced version of a technical report describing an adaptive timesegmentation strategy for use in real-time voice communications with frame losses, such as voice over IP (VoIP). The copyrights for parts of this work was handed over to the IEEE in conjunction with the following two papers: an