TY - GEN
T1 - Lattice adaptive filtering-based method for acoustic feedback cancellation in hearing aids with robustness against sudden changes in the feedback path
AU - Akhtar, Muhammad Tahir
AU - Nishihara, Akinori
PY - 2017/11/3
Y1 - 2017/11/3
N2 - This paper proposes a new method for continuous acoustic adaptive feedback cancelation (AFC) in digital hearing aids. The proposed method employs two adaptive filters working in tandem. The first adaptive filter is excited by the receiver (output) signal of the hearing aid, and uses microphone signal as its desired response. The lattice-predictor based adaptive algorithm is used to updated the coefficients of the first adaptive filter. The second adaptive filter is excited by a (random) probe signal. We propose coefficient monitoring strategy with two fold objectives: 1) both adaptive filters converge to a good estimate of the acoustic feedback path, and that 2) both adaptive filter are re-initialized when a sudden change in the acoustic feedback path is detected. Finally, the injected probe noise is controlled via time-varying gain in such a way that a low level noise is used when the system is operating in its steady state. Simulation results demonstrate that the proposed method achieves good modeling accuracy, preserves good speech quality, and provides robust performance for the sudden changes in acoustic feedback path.
AB - This paper proposes a new method for continuous acoustic adaptive feedback cancelation (AFC) in digital hearing aids. The proposed method employs two adaptive filters working in tandem. The first adaptive filter is excited by the receiver (output) signal of the hearing aid, and uses microphone signal as its desired response. The lattice-predictor based adaptive algorithm is used to updated the coefficients of the first adaptive filter. The second adaptive filter is excited by a (random) probe signal. We propose coefficient monitoring strategy with two fold objectives: 1) both adaptive filters converge to a good estimate of the acoustic feedback path, and that 2) both adaptive filter are re-initialized when a sudden change in the acoustic feedback path is detected. Finally, the injected probe noise is controlled via time-varying gain in such a way that a low level noise is used when the system is operating in its steady state. Simulation results demonstrate that the proposed method achieves good modeling accuracy, preserves good speech quality, and provides robust performance for the sudden changes in acoustic feedback path.
KW - acoustic feedback
KW - Hearing aids
KW - Lattice-predictor NLMS algorithm
KW - NLMS algorithm
KW - probe noise
UR - http://www.scopus.com/inward/record.url?scp=85040630532&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85040630532&partnerID=8YFLogxK
U2 - 10.1109/IWSDA.2017.8095736
DO - 10.1109/IWSDA.2017.8095736
M3 - Conference contribution
AN - SCOPUS:85040630532
SN - 9781509065332
T3 - 2017 8th International Workshop on Signal Design and Its Applications in Communications, IWSDA 2017
SP - 59
EP - 63
BT - 2017 8th International Workshop on Signal Design and Its Applications in Communications, IWSDA 2017
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 8th International Workshop on Signal Design and Its Applications in Communications, IWSDA 2017
Y2 - 24 September 2017 through 28 September 2017
ER -