Patent Document ID: 20120290525
Application ID: 13068341
Patent Flag: 0

Claim One:
1. A method of operating a joint Bayesian estimator comprising: estimating a model parameter set θ τ comprising at least one noise covariance Ψ τ as a function of at least an estimated or a predicted posterior of at least one unknown state quantity, a far-end signal x t and an error signal E τ ; generating a Kalman gain factor K τ in dependence on the at least one noise covariance Ψ τ ; using the Kalman gain factor K τ to adapt the posterior of at least one unknown state quantity; estimating an acoustic echo signal Ŷ τ using the adapted posterior of the at least one unknown state quantity; subtracting the estimated acoustic echo signal Ŷ τ from a microphone signal Y τ to generate an error signal E τ ; filtering the error signal E τ to suppress residual linear and nonlinear error according to a weighting function ψ τ which depends on the error signal E τ , the far-end signal x t and the adapted posterior of the at least one unknown state quantity; and outputting the filtered error signal ŝ′ t for transmission to a far-end.