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Open AccessJournal ArticleDOI

Improved Echo cancellation in VOIP

TLDR
The goal was to suppress echo without clipping and distorting the main signal so that the received signal seems echo free and the proposed method performs better in finding the echo free signal than the other conventional system.
Abstract
VoIP (voice over internet protocol) is very popular communication technology of this century and has played tremendous role in communication system. It is preferred by all because it deploys many benefits it uses Internet protocol (IP) networks to deliver multimedia information such as speech over a data network. VoIP system can be configured in these connection modes respectively; PC to PC, Telephony to Telephony and PC to Telephony. Echo is very annoying problem which occurs in VoIP and echo reduces the voice quality of VoIP. It is not possible to remove echo 100% from echoed signal because if echo is tried to be eliminated completely then the attempt may distort the main signal. That is why echo cannot be eliminated echo perfectly but the echo to a tolerable range. Clipping is not a good solution to suppress echo because part of speech may erroneously removed. Besides an NLP does not respond rapidly enough and also confuses the fading of the voice level at the end of a sentence with a residual echo. This paper has proposed echo cancellation in VoIP that has been tested and verified by MATLAB. The goal was to suppress echo without clipping and distorting the main signal. By the help of MATLAB program the echo is minimized to enduring level so that the received signal seems echo free. The percentage of suppressing echo varies with the amplitude of the main signal. With regarding the amplitude variation in received (echo free) signal the proposed method performs better in finding the echo free signal than the other conventional system.

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Citations
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Performance Comparison of Single Channel Speech Enhancement Techniques for Personal Communication

TL;DR: The performance of single channel speech enhancement based WT is better than AWF and SS techniques, which has proved the speech enhancing capability of the personal communication technique where noise and echo-interference can degrade the original speech signal.
Journal Article

Performance Comparison of Single ChannelSpeech Enhancement Techniques for PersonalCommunication

TL;DR: In this article, the performance of single channel speech enhancement based Wavelet Transform (WT) and Adaptive Wiener Filtering (AWF) is compared and the parameters used for comparison are Mean Square Error, Normalised Mean Square error, Signal to Noise Ratio, Peak Signal to Noise Ratio and Average Absolute Distortion.
Journal ArticleDOI

Application of Digital Signal Processing In Echo Cancellation: A Survey

TL;DR: This paper describes an alternative method of estimating signals corrupted by additive noise or interference by concerning different parameters with their comparative results.

Acoustic Echo Cancellation for the Advancement inTelecommunication

TL;DR: This work attempts to implement the acoustic echo canceller algorithm on a PC with the help of the MATLAB software which uses a fast convolution technique to compute the output signal and filter updates.
Journal ArticleDOI

A Literature Review on Synthesis and Characterization of enamelled copper wire filled with CNT

TL;DR: The survey on the various magazines, conference papers and journals for understanding the properties of enamelled copper wires mixed with nano fillers, fundamental methods for synthesis and characterization of carbon nanotubes found that the research work carried out in an enamelling copper wires filled with nano Fillers has shown better results.
References
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Journal Article

A Survey on Voice over IP over Wireless LANs

TL;DR: This paper consolidates and addresses major VoWLAN issues and is helpful for those researchers wants to do research in Voice over IP technology over WLAN network.
Trending Questions (1)
How do you remove someone from a signal chat?

It is not possible to remove echo 100% from echoed signal because if echo is tried to be eliminated completely then the attempt may distort the main signal.