Robust acoustic echo cancellation in the short-time fourier transform domain using adaptive crossband filters

Abstract

This paper presents a robust acoustic echo cancellation (AEC) system in the short-time Fourier transform (STFT) domain using adaptive crossband filters. The STFT-domain AEC allows for a simpler system structure compared to the traditional frequency-domain AEC, which normally requires several applications of the discrete Fourier transform (DFT) and the inverse DFT, while the robust AEC (RAEC) allows for continuous and stable filter updates during double talk without freezing the adaptive filter. The RAEC and the STFT-domain AEC have been investigated in the past in separate studies. In this work we propose a novel algorithm that combines the advantages of both approaches for robust update of the adaptive crossband filters even during double talk. Experimental results confirm the benefit of incorporating the robustness constraint for the adaptive crossband filters and show improved performance in terms of the echo reduction and the predicted sound quality.

Robust STFT Domain Multi-Channel Acoustic Echo Cancellation with Adaptive Decorrelation of the Reference Signals

“…The RAEC utilizes a noise-robust adaptive step-size [30] which is generalized to the frequency domain in [31]. This adaptive step-size is extended to the STFT-domain crossband filters for single-channel in [28] as (for m-th frequency-band)…”

“…In this paper, we propose a novel algorithm for MCAEC that applies decorrelation of the reference channels adaptively in the timedomain. The AEC operating on the decorrelated channels is applied directly in the STFT domain, similarly to [21], We incorporate ideas from the robust AEC algorithm to allow for robust update of the adaptive filters when near-end speech is present, similarly to [28]. The combination of these methods offers several advantages for the MCAEC problem in smart speakers: works at very low signal-tomusic ratios, accommodates a variable number of reference channels, and attempts to limit distortion on the voice command.…”

Design of Digital Constrained Linear Least-Squares Multiple-Resonator-Based Harmonic Filtering

“…One approach is based on comb filtering to pass the harmonics of speech but reject the frequency components [3][4][5]. In addition, there are many signal analyses and transformations that are best performed in the frequency domain [6][7][8][9][10][11][12][13][14].…”