58results about How to "Good echo cancellation" patented technology

The invention discloses a low complexity phone echo self-adaption eliminating method. The method mainly comprises the steps of: A, far-end signal filtration: obtaining a large-step filtering value y1(n) and a small-step filtering value y2(n); B, convex combination: completing the convex combination of the large-step filtering value y1(n) and the small-step filtering value y2(n) so as to obtain a combined filtering value y(n), wherein y(n)=lambda(n)y1(n)+(1-lambda(n))y2(n); C, echo cancellation: completing the subtraction of a near-end signal d(n) which has echo and is picked by a near-end microphone and the combined filtering value y(n), and then sending the signal back to a far end, wherein a return signal is a total residual signal e(n), and e(n)=d(n)-y(n); D, updating the weight coefficient of filtering device taps; E, updating the weight of the filtering device, i.e. updating a hybrid parameter a(n) through a formula which is simplified by a sign function; F, defining the weight of the filtering device; and G, setting n=n+1, and repeating the steps of A, B, C, D, E and F until the conversation is over. The method has strong identification capability to sparse telephone communication systems, and particularly has quick convergence rate and small steady state error in a transition period; an echo eliminating effect is good; and moreover, the method is low in calculation complexity, low in hardware cost and easy to implement.

A voice communication adaptive echo cancellation method based on S-type function, its main steps are: A, echo cancellation B, tap weight vector update: B1, calculate S-type function value, by error signal e (n) and tap weight vector W(n), the calculated S-type function value s(n), B2, the update of the filter tap weight vector, will s(n)‑s 2 (n) Introduce the subtraction term of the adjustment item into the weight vector update formula to obtain the filter tap weight vector W(n+1) at the next moment n+1; C, repeat. The method has fast convergence speed, low steady-state error, strong impact resistance and good echo cancellation effect.

The invention relates to the field of voice technology, and discloses an adaptive echo cancellation method based on a PC terminal and a mobile terminal. The equipment of the method includes a sending device, a receiving device, and a cloud cancellation server; both the sending device and the receiving device have their own echo cancellation services. Equipment, such as: mobile phone equipment, embedded equipment and PC equipment. The devices that have been processed by the cloud cancellation server do not collect voice data, and the devices that have not been processed will collect voice data. For devices that have problems with the echo cancellation effect when the user uses the device, the echo cancellation parameters will be adaptively adjusted. Through the design of the present invention, the integration of the mainstream echo cancellation technology is realized, the support of cloud services is added, the real intercom environment can be simulated and restored, and the echo cancellation parameters can be dynamically calculated in the cloud, which can well meet the echo requirements of various devices Elimination, to achieve the best effect of echo cancellation.

An adaptive communication echo cancellation method for voice communication, the steps are mainly: A, echo cancellation; B, tap weight vector update: B1, residual signal square sequence E 2 (n) calculation; B2, the calculation of the weighted median residual, to obtain the weighted median residual σ(n) at the current moment n; B3, the calculation of the estimated value of M, to obtain the M of the residual of the current moment n Estimated function value ψ(n); B4, calculation of zero attraction vector, obtains zero attraction factor of tap weight coefficient, thus constitutes zero attraction vector F(n) of current moment n, B5, update of filter tap weight vector, in Introduce the M estimation function value and the zero attraction vector into the update formula to obtain the filter tap weight vector W(n+1) at the next moment n+1; C, repeat. The method has fast convergence speed, low steady-state error and good impact resistance.