Two microphone acoustic feedback cancellation in digital hearing aids: A step size controlled frequency domain approach

Abstract The feedback cancellation performance of behind the ear hearing aids can be improved by employing two microphones in the feedback cancellation process. A frequency domain implementation of feedback cancellation in a two microphone behind the ear hearing aid has been proposed in this paper. A frequency domain step size control scheme has been further introduced to improve the convergence behaviour. The implementation of a the frequency domain step size control method requires the microphone input signal as well as the loudspeaker output signal to be uncorrelated. In order to reduce the correlation effects and enable such an implementation, we have incorporated frequency shifting in the forward path. The proposed approach has been shown to provide improved convergence behaviour as well as offer enhanced speech quality. Further, the proposed scheme is expected to offer a reduced computational load for longer feedback paths.

[1]  Marc Moonen,et al.  A PEM-based frequency-domain Kalman filter for adaptive feedback cancellation , 2015, 2015 23rd European Signal Processing Conference (EUSIPCO).

[2]  Boaz Rafaely,et al.  A computationally efficient frequency-domain LMS algorithm with constraints on the adaptive filter , 2000, IEEE Trans. Signal Process..

[3]  Manfred R. Schroeder.  Improvement of Feedback Stability of Public Address Systems by Frequency Shifting , 1961 .

[4]  Xiaojun Qiu,et al.  An Overlap-Save Frequency-Domain Implementation of the Delayless Subband ANC Algorithm , 2008, IEEE Transactions on Audio, Speech, and Language Processing.

[5]  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.

[6]  Debi Prasad Das,et al.  A computationally efficient frequency-domain filtered-X LMS algorithm for virtual microphone , 2013 .

[7]  P M Zurek,et al.  Evaluation of feedback-reduction algorithms for hearing aids. , 2000, The Journal of the Acoustical Society of America.

[8]  King Chung,et al.  Challenges and Recent Developments in Hearing Aids: Part I. Speech Understanding in Noise, Microphone Technologies and Noise Reduction Algorithms , 2004, Trends in amplification.

[9]  Jun Yang,et al.  A Step Size Control Method for Deficient Length FBLMS Algorithm , 2015, IEEE Signal Processing Letters.

[10]  H A Joson,et al.  Adaptive feedback cancellation with frequency compression for hearing aids. , 1993, The Journal of the Acoustical Society of America.

[11]  Jesper Jensen,et al.  On Acoustic Feedback Cancellation Using Probe Noise in Multiple-Microphone and Single-Loudspeaker Systems , 2012, IEEE Signal Processing Letters.

[12]  M.N.S. Swamy,et al.  Design and analysis of a BLPC vocoder-based adaptive feedback cancellation with probe noise , 2017 .

[13]  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).

[14]  Johan Hellgren,et al.  Analysis of feedback cancellation in hearing aids with Filtered-x LMS and the direct method of closed loop identification , 2002, IEEE Trans. Speech Audio Process..

[15]  Xiaoli Ma,et al.  A Frequency Domain Step-Size Control Method for LMS Algorithms , 2010, IEEE Signal Processing Letters.

[16]  Issa M. S. Panahi,et al.  A method of howling detection in presence of speech signal , 2016, Signal Process..

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

[18]  Issa M. S. Panahi,et al.  Criteria for estimating an FIR filter for cancelling the feedback path signal in hearing aid system , 2014, Signal Process..

[19]  V. John Mathews,et al.  Improving adaptive feedback cancellation in digital hearing aids through offending frequency suppression , 2010, 2010 IEEE International Conference on Acoustics, Speech and Signal Processing.

[20]  Wei-Yong Yan,et al.  Analysis of Two Microphone Method for Feedback Cancellation , 2015, IEEE Signal Processing Letters.

[21]  José Carlos M. Bermudez,et al.  Transient Mean-Square Analysis of Prediction Error Method-Based Adaptive Feedback Cancellation in Hearing Aids , 2012, IEEE Transactions on Audio, Speech, and Language Processing.

[22]  James M. Kates,et al.  Digital hearing aids. , 2008, Harvard health letter.

[23]  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).

[24]  Henning Puder,et al.  Adaptive Feedback Cancellation for Realistic Hearing Aid Applications , 2015, IEEE/ACM Transactions on Audio, Speech, and Language Processing.

[25]  Marc Moonen,et al.  Improved prediction error filters for adaptive feedback cancellation in hearing aids , 2013, Signal Process..

[26]  Abeer Alwan,et al.  Steady-state analysis of continuous adaptation in acoustic feedback reduction systems for hearing-aids , 2000, IEEE Trans. Speech Audio Process..

[27]  Philipos C. Loizou,et al.  Speech Enhancement: Theory and Practice , 2007 .

[28]  Ganapati Panda,et al.  New block filtered-X LMS algorithms for active noise control systems , 2007 .

[29]  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).

[30]  Marc Moonen,et al.  Wiener variable step size and gradient spectral variance smoothing for double-talk-robust acoustic echo cancellation and acoustic feedback cancellation , 2014, Signal Process..

[31]  S. Haykin,et al.  Adaptive Filter Theory , 1986 .