A Modular Analog NLMS Structure for Adaptive Filtering
Analog Integrated Circuits and Signal Processing - Selected papers from the 1st Analog VLSI Workshop
Blind source extraction for robust speech recognition in multisource noisy environments
Computer Speech and Language
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This paper proposes a new noise-robust adaptive FIR filtering algorithm with an adaptive step-size which takes non-stationarity of speech signals into account. The proposed algorithm controls the step-size based on the reference input signal power and the estimated noise power. Implementation of an acoustic echo canceller based on this algorithm using digital signal processors is also described. Computer simulation results using a real speech signal show that the proposed algorithm improves the ERLE (echo return loss enhancement) by more than 10 dB compared with conventional noise-robust adaptive-step algorithms. The implemented echo canceller achieves 25 dB of the ERLE, which agrees with the computer simulation results.