Acoustic feedback is a major complaint of hearing aid users. Adaptive filters are a common method for suppressing acoustic feedback in digital hearing aids. In this letter, we propose a new variable step-size algorithm for normalized least mean square and an affine projection algorithm to combine with a variable step-size affine projection algorithm and global speech absence probability in an adaptive filter. The computer simulation used to test the proposed algorithm results in a lower misalignment error than the comparison algorithm at a similar convergence rate. Therefore, the proposed algorithm suggests an effective solution for the feedback suppression system of digital hearing aids.
Hongsub AN
Inha University
Hyeonmin SHIM
Inha University
Jangwoo KWON
Inha University
Sangmin LEE
Inha University
The copyright of the original papers published on this site belongs to IEICE. Unauthorized use of the original or translated papers is prohibited. See IEICE Provisions on Copyright for details.
Copy
Hongsub AN, Hyeonmin SHIM, Jangwoo KWON, Sangmin LEE, "A Variable Step-Size Feedback Cancellation Algorithm Based on GSAP for Digital Hearing Aids" in IEICE TRANSACTIONS on Fundamentals,
vol. E97-A, no. 7, pp. 1615-1618, July 2014, doi: 10.1587/transfun.E97.A.1615.
Abstract: Acoustic feedback is a major complaint of hearing aid users. Adaptive filters are a common method for suppressing acoustic feedback in digital hearing aids. In this letter, we propose a new variable step-size algorithm for normalized least mean square and an affine projection algorithm to combine with a variable step-size affine projection algorithm and global speech absence probability in an adaptive filter. The computer simulation used to test the proposed algorithm results in a lower misalignment error than the comparison algorithm at a similar convergence rate. Therefore, the proposed algorithm suggests an effective solution for the feedback suppression system of digital hearing aids.
URL: https://global.ieice.org/en_transactions/fundamentals/10.1587/transfun.E97.A.1615/_p
Copy
@ARTICLE{e97-a_7_1615,
author={Hongsub AN, Hyeonmin SHIM, Jangwoo KWON, Sangmin LEE, },
journal={IEICE TRANSACTIONS on Fundamentals},
title={A Variable Step-Size Feedback Cancellation Algorithm Based on GSAP for Digital Hearing Aids},
year={2014},
volume={E97-A},
number={7},
pages={1615-1618},
abstract={Acoustic feedback is a major complaint of hearing aid users. Adaptive filters are a common method for suppressing acoustic feedback in digital hearing aids. In this letter, we propose a new variable step-size algorithm for normalized least mean square and an affine projection algorithm to combine with a variable step-size affine projection algorithm and global speech absence probability in an adaptive filter. The computer simulation used to test the proposed algorithm results in a lower misalignment error than the comparison algorithm at a similar convergence rate. Therefore, the proposed algorithm suggests an effective solution for the feedback suppression system of digital hearing aids.},
keywords={},
doi={10.1587/transfun.E97.A.1615},
ISSN={1745-1337},
month={July},}
Copy
TY - JOUR
TI - A Variable Step-Size Feedback Cancellation Algorithm Based on GSAP for Digital Hearing Aids
T2 - IEICE TRANSACTIONS on Fundamentals
SP - 1615
EP - 1618
AU - Hongsub AN
AU - Hyeonmin SHIM
AU - Jangwoo KWON
AU - Sangmin LEE
PY - 2014
DO - 10.1587/transfun.E97.A.1615
JO - IEICE TRANSACTIONS on Fundamentals
SN - 1745-1337
VL - E97-A
IS - 7
JA - IEICE TRANSACTIONS on Fundamentals
Y1 - July 2014
AB - Acoustic feedback is a major complaint of hearing aid users. Adaptive filters are a common method for suppressing acoustic feedback in digital hearing aids. In this letter, we propose a new variable step-size algorithm for normalized least mean square and an affine projection algorithm to combine with a variable step-size affine projection algorithm and global speech absence probability in an adaptive filter. The computer simulation used to test the proposed algorithm results in a lower misalignment error than the comparison algorithm at a similar convergence rate. Therefore, the proposed algorithm suggests an effective solution for the feedback suppression system of digital hearing aids.
ER -