Paper details
- TITLE: Assessing the acoustic feedback control performance of adaptive feedback cancellation in sound reinforcement systems
- AUTHORS: Toon van Waterschoot and Marc Moonen
- ABSTRACT: Adaptive feedback cancellation (AFC) is considered to be a promising solution to the acoustic feedback problem in sound reinforcement systems. A fundamental problem in AFC is related to the closed-loop nature of a sound reinforcement system, which results in a considerable signal correlation between the far-end and near-end signal. To avoid a biased and slowly converging feedback path estimation, the AFC approach is usually realized by combining an adaptive filter with a decorrelation method. In the AFC literature, decorrelation methods have only been evaluated w.r.t. the resulting adaptive filter misadjustment, and moreover, few results are available concerning the proper choice of the decorrelation parameters. In this paper, results of a comparative evaluation of existing decorrelation methods are reported, in terms of two measures that actually determine the acoustic feedback control performance, namely the maximum stable gain (MSG) increase and the sound quality. It appears that the choice of the decorrelation method and its parameters has a profound influence on these performance measures. Moreover, when decorrelation is applied in the closed signal loop, a trade-off between the resulting MSG increase and sound quality is unavoidable.
- STATUS: Published in Proc. 17th European Signal Process. Conf. (EUSIPCO '09), Glasgow, Scotland, UK, Aug. 2009, pp. 1997-2001.
- REPORT NUMBER: 09-01
Downloads
- paper: PDF (108 KB)
- presentation: PDF (719 KB)
- acoustic feedback path impulse responses:
- speech simulations:
- first impulse response (before acoustic feedback path change): WAV (16 kHz, 16 bit, 3.95 KB)
- second impulse response (after acoustic feedback path change): WAV (16 kHz, 16 bit, 3.95 KB)
- audio simulations:
- first impulse response (before acoustic feedback path change): WAV (44.1 kHz, 16 bit, 8.65 KB)
- second impulse response (after acoustic feedback path change): WAV (44.1 kHz, 16 bit, 8.65 KB)
- speech simulations:
- source signals:
- speech simulations: WAV (16 kHz, 16 bit, 937 KB)
- audio simulations: WAV (44.1 kHz, 16 bit, 5.04 MB)
- feedback-compensated signals:
- speech simulations (all 16 kHz, 16 bit, 937 KB):
decorrelation method
decorrelation parameter value
sound file
noise injection (NI)
signal-to-noise ratio = 10 dB
WAV
time-varying processing [frequency shifting (FS)]
frequency shift = 1 Hz
WAV
nonlinear processing [half-wave rectification (HWR)]
mixing parameter = 0.5
WAV
forward path delay (DFW)
delay = 1.25 ms
WAV
adaptive filter path delay (DAF)
delay = 5 ms
WAV
decorrelating prefilters (PF)
all-pole model order = 20
WAV
- audio simulations (all 44.1 kHz, 16 bit, 5.04 MB):
decorrelation method
decorrelation parameter value
sound file
noise injection (NI)
signal-to-noise ratio = 10 dB
WAV
time-varying processing [frequency shifting (FS)]
frequency shift = 5 Hz
WAV
nonlinear processing [half-wave rectification (HWR)]
mixing parameter = 0.5
WAV
forward path delay (DFW)
delay = 23.22 ms
WAV
adaptive filter path delay (DAF)
delay = 23.22 ms
WAV
decorrelating prefilters (PF)
all-pole model order = 25
WAV
- speech simulations (all 16 kHz, 16 bit, 937 KB):
BibTeX entry
@InProceedings{vanwaterschoot09-01,
author = {T. van Waterschoot and M. Moonen},
title = {Assessing the acoustic feedback control performance of adaptive feedback cancellation in sound reinforcement systems},
booktitle = {Proc. 17th European Signal Process. Conf. (EUSIPCO '09)},
pages = {1997--2001},
year = {2009},
address = {Glasgow, Scotland, UK},
month = Aug
}
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