Proportionate algorithms for two-microphone active feedback cancellation

In this paper we propose the use of the proportionate principle in order to improve the convergence characteristics of the two microphone method for acoustic feedback cancellation in hearing aids. The reason of using proportionate algorithms is to exploit the sparseness of the adaptive filter coefficients in the transform domain. The convergence improvement can be achieved for both speech and music signals at a moderate increase of the numerical complexity over that of a previous solution in the transform domain.

[1]  Ali H. Sayed,et al.  Adaptive Filters , 2008 .

[2]  N. Ahmed,et al.  FAST TRANSFORMS, algorithms, analysis, applications , 1983, Proceedings of the IEEE.

[3]  Wei-Yong Yan,et al.  New Insights Into Optimal Acoustic Feedback Cancellation , 2013, IEEE Signal Processing Letters.

[4]  Hon Keung Kwan,et al.  Memory improved proportionate affine projection sign algorithm , 2012 .

[5]  M. Moonen,et al.  Adaptive feedback cancellation in hearing aids with linear prediction of the desired signal , 2005, IEEE Transactions on Signal Processing.

[6]  Yahong Rosa Zheng,et al.  Proportionate Affine Projection Sign Algorithms for Network Echo Cancellation , 2011, IEEE Transactions on Audio, Speech, and Language Processing.

[7]  Ieee Staff 2017 25th European Signal Processing Conference (EUSIPCO) , 2017 .

[8]  Martin Vetterli,et al.  Fast Fourier transforms: a tutorial review and a state of the art , 1990 .

[9]  W. Marsden I and J , 2012 .

[10]  Saeed Gazor,et al.  Selection of orthonormal transforms for improving the performance of the transform domain normalised LMS algorithm , 1992 .

[11]  Donald L. Duttweiler,et al.  Proportionate normalized least-mean-squares adaptation in echo cancelers , 2000, IEEE Trans. Speech Audio Process..

[12]  A.M. Peterson,et al.  Frequency domain least-mean-square algorithm , 1981, Proceedings of the IEEE.

[13]  Wei-Yong Yan,et al.  Closed-loop feedback cancellation utilizing two microphones and transform domain processing , 2014, 2014 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

[14]  Wei-Yong Yan,et al.  Dual microphone solution for acoustic feedback cancellation for assistive listening , 2012, 2012 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

[15]  F. Albu,et al.  A variable step size modified decorrelated NLMS algorithm for adaptive feedback cancellation in hearing aids , 2012, 2012 10th International Symposium on Electronics and Telecommunications.

[16]  Jesper Jensen,et al.  On the use of a phase modulation method for decorrelation in acoustic feedback cancellation , 2012, 2012 Proceedings of the 20th European Signal Processing Conference (EUSIPCO).

[17]  Wei-Yong Yan,et al.  Feedback Cancellation With Probe Shaping Compensation , 2014, IEEE Signal Processing Letters.

[18]  Marc Moonen,et al.  Transform domain prediction error method for improved acoustic echo and feedback cancellation , 2012, 2012 Proceedings of the 20th European Signal Processing Conference (EUSIPCO).

[19]  Henri Coanda,et al.  Intermittently Updated Simplified Proportionate Affine Projection Algorithm , 2014 .

[20]  Antony William Rix,et al.  Perceptual evaluation of speech quality (PESQ): The new ITU standard for end-to-end speech quality a , 2002 .

[21]  Charles M. Rader,et al.  Fast transforms: Algorithms, analyses, applications , 1984 .

[22]  Jesper Jensen,et al.  Novel Acoustic Feedback Cancellation Approaches in Hearing Aid Applications Using Probe Noise and Probe Noise Enhancement , 2012, IEEE Transactions on Audio, Speech, and Language Processing.

[23]  Marc Moonen,et al.  Fifty Years of Acoustic Feedback Control: State of the Art and Future Challenges , 2011, Proceedings of the IEEE.

[24]  Simon Doclo,et al.  Feedback Control in Hearing Aids , 2008 .