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This paper proposes a robust NLMS algorithm with a novel noise modeling based on stationary/nonstationary noise decomposition. The ambient noise including the near-end signal is modeled as a weighted sum of the stationary and the nonstationary components. These components are independently estimated with an appropriate time constant for better accuracy. The estimates are weighted by the stationary/...
This paper presents a versatile echo-and-noise control suite with a user-control capability, which is effective for nonlinear echo and impact noise. The suite consists of an acoustic echo canceller (AEC) and downlink/uplink noise suppressors (NSs). The AEC cancels both linear and nonlinear echoes based on an estimated ratio of the linear echo to the nonlinear echo with a smaller number of computations...
This paper proposes a new acoustic echo suppressor based on a frequency-domain model of highly nonlinear residual echo. The proposed echo suppressor controls the gain in each frequency bin based on the new model where the highly nonlinear residual echo is approximated as a product of a regression coefficient and the echo replica in the frequency domain. To reduce annoying modulation by the error of...
This paper presents implementation and evaluation of the auditory system in a personal robot, PaPeRo. The system consists of direction of arrival estimation, noise cancellation, and echo cancellation. It is implemented on PaPeRo which is operated by Windows XP on a Mobile Pentium 4-M 1.6 GHz chip. Evaluation results with recorded signals in the real environment demonstrates 40% higher source-localization...
An algorithm for adaptive FIR (finite impulse response) filters is proposed. This algorithm provides both fast convergence and small final misadjustment with an adaptive step size even under an interference to the error. It pays special attention to the interference which contaminates the error. To enhance robustness to the interference, it imposes a special limit on the increment/decrement of the...
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