Abstract

We propose a new low complexity, low delay, and fast converging frequency-domain adaptive algorithm for network echo cancellation in VoIP exploiting MMax and sparse partial (SP) tap-selection criteria in the frequency domain. We incorporate these tap-selection techniques into the multidelay filtering (MDF) algorithm in order to mitigate the delay inherent in frequency-domain algorithms. We illustrate two such approaches and discuss their tradeoff between convergence performance and computational complexity. Simulation results show an improvement in convergence rate for the proposed algorithm over MDF and significantly reduced complexity. The proposed algorithm achieves a convergence performance close to that of the recently proposed, but substantially more complex improved proportionate MDF (IPMDF) algorithm.

Highlights

  • The popularity of voice over internet protocol (VoIP) coupled with an increasing expectation for natural communication over packet-switched networks has called for improvement in VoIP technologies in recent years

  • We have proposed SPMMax-multidelay filtering (MDF) for network echo cancellation in VoIP

  • This algorithm achieves a faster rate of convergence, low complexity, and low delay by novelly exploiting both the MMax and sparse partial (SP) tap-selection in the frequency domain using MDF implementation

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Summary

Introduction

The popularity of voice over internet protocol (VoIP) coupled with an increasing expectation for natural communication over packet-switched networks has called for improvement in VoIP technologies in recent years. As described in [1], several factors that can affect the QoS for VoIP include the choice of speech coder-decoders (codecs) [3], algorithmic processing delay [4], and packet loss [5], where the algorithmic delay is one of the significant factors for determining the budget for delay introduced by network echo cancellers. Transmission and algorithmic processing cause the echo to be transmitted back to the originator with a delay, impeding effective communication. For effective network echo cancellation (NEC), adaptive filters such as shown in Figure 1 have been employed for the estimation of network impulse response.

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