Acoustic feedback cancellation for long acoustic paths using a nonstationary source model

While several proactive acoustic feedback (Larsen-effect) cancellation schemes have been presented for speech applications with short acoustic feedback paths as encountered in hearing aids, these schemes fail with the long impulse responses inherent to, for instance, public address systems. We deriv...

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Bibliographic Details
Published in:IEEE transactions on signal processing 2006-09, Vol.54 (9), p.3426-3434
Main Authors: Rombouts, G., van Waterschoot, T., Struyve, K., Moonen, M.
Format: Article
Language:English
Subjects:
Acoustic applications
Acoustic feedback cancellation
Acoustic signal detection
Acoustics
Applied sciences
Automatic frequency control
Cancellation
Channels
Delay
Detection, estimation, filtering, equalization, prediction
Economic models
Exact sciences and technology
Feedback
Feedback loop
Filters
Information, signal and communications theory
Larsen effectbu
Least squares method
Least squares methods
Loudspeakers
Mathematical models
Microphones
Miscellaneous
Public address systems
Signal and communications theory
Signal processing
Signal, noise
Speech
Speech processing
Studies
Telecommunications and information theory
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Summary:While several proactive acoustic feedback (Larsen-effect) cancellation schemes have been presented for speech applications with short acoustic feedback paths as encountered in hearing aids, these schemes fail with the long impulse responses inherent to, for instance, public address systems. We derive a new prediction error method (PEM)-based scheme (referred to as PEM-AFROW) which identifies both the acoustic feedback path and the nonstationary speech source model. A cascade of a short- and a long-term predictor removes the coloring and periodicity in voiced speech segments, which account for the unwanted correlation between the loudspeaker signal and the speech source signal. The predictors calculate row operations which are applied to prewhiten the speech source signal, resulting in a least squares system that is solved recursively by means of normalized least mean square or recursive least squares algorithms. Simulations show that this approach is indeed superior to earlier approaches whenever long acoustic channels are dealt with
ISSN:1053-587X
1941-0476
DOI:10.1109/TSP.2006.879251