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Transactions: WSEAS TRANSACTIONS ON SIGNAL PROCESSING
Transactions ID Number: 42-569
Full Name: Suma Aswatha
Position: Ph.D. Candidate
Age: ON
Sex: Female
Address: #515, "Lakshmi Nivas", 2nd Main Road, 'A' Block, 2nd stage, Near Vivekananda College, Rajajinagar, Bangalore, Karnataka, Pin Code: 560055
Country: INDIA
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E-mail address: suma.aswatha@wipro.com
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Title of the Paper: A Novel echo canceller with improved Steady State Characteristics along with Convergence rate and Signal to Noise Ratio (SNR) for LPC based Speech Coders.
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Number of paper pages: 10
Abstract: In this paper we present a novel solution to the problem of hybrid and acoustic echo cancellation with improved steady state performance along with convergence rate and Signal to noise ratio(SNR) in the context of LPC based speech coders integrated to VOIP or mobile communications. Traditionally, speech enhancement techniques in VOIP or mobile networks are done in the transcoding unit operating on the uncoded signal. This means that the signal coming from the mobile terminals for example has to be decoded, enhanced and encoded again; these operations obviously introduce delays other than being computationally intensive and particularly prone to adding further quantization noise. The echo canceller presented is based on the Least–Mean–Squares (LMS) adaptive filter. Variations on the Normalized LMS (NLMS) algorithm have been made to allow for the increased convergence rate requirement. The aim of this work is to reduce the computational costs and delays and impro!
ve on the steady state performance with a better convergence rate and signal to Noise Ratio(SNR).
Keywords: Hybrid Echo, Acoustic Echo, Steady state characteristics, Convergence rate, Signal to noise Ratio(SNR).
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