The Kalman filter has been adopted in acoustic echo cancellation due to its robustness to
double-talk, fast convergence, and good steady-state performance. The performance of …

This paper presents a real-time Acoustic Echo Cancellation (AEC) algorithm submitted to the
AEC-Challenge. The algorithm consists of three modules: Generalized Cross-Correlation …

The frequency-domain Kalman filter (FDKF) was successfully applied in echo-cancelation
systems due to its fast initial convergence and robustness to double-talk. However, the …

This paper proposes the Cross-Domain Echo-Controller (CDEC), submitted to the
Interspeech 2021 AEC-Challenge. The algorithm consists of three building blocks:(i) a Time …

The frequency-domain adaptive filter (FDAF) is widely used in echo cancellation systems
due to its low complexity and fast convergence rate. However, the FDAF algorithm with a …

Ensuring robust and reliable control of distributed vehicles powered by in-wheel motor
systems poses a significant challenge due to the harsh operating environments and high …

Conventional affine projection (AP) algorithm with a fixed order is subject to a tradeoff
between convergence speed and steady-state misalignment. In order to address such …

The frequency-domain Kalman filter (FKF) has been utilized in many audio signal
processing applications due to its fast convergence speed and robustness. However, the …

This paper proposes a deep hybrid model for stereophonic acoustic echo cancellation
(SAEC). A two-stage model is considered, ie, a deep-learning-based Kalman filter …

Two kinds of update equations are commonly used for the constrained frequency-domain
adaptive filter (FDAF), namely the gradient-constrained version and the weight-constrained …