The Combination of Several Decorrelation Methods to Improve Acoustic Feedback Cancellation

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Authors: Klaus Linhard, Philipp Bulling
Cited by: 0

Abstract

This paper extends an acoustic feedback cancellation system by incorporating multiple decorrelation methods. The baseline system is based on a frequency-domain Kalman filter implemented in a multi-delay structure. The proposed extensions include a variable time delay line, prediction, distortion compensation, and a simplified reverberation model. Each extension is analyzed, and a practical parameter range is defined. While existing literature often focuses on a single extension, such as prediction, to describe an optimal system, this work demonstrates that each individual extension contributes to performance improvements. Furthermore, the combination of all proposed extensions results in a superior system. The evaluation is conducted using publicly available datasets, with performance assessed through system distance metrics and the objective speech quality measure PSEQ.

Fields of Study & Subjects

Speech and Audio Processing Advanced Adaptive Filtering Techniques Speech Recognition and Synthesis

Publication details

Journal / source
arXiv (Cornell University)
Publication date
6 February 2026
Document type
Preprint