Abstract
The acoustic feedback is a persistent and annoying issue in hearing aids (HA), which either limits the maximum gain accessible by the user or degrades the sound quality of the device or both. The feedback cancelers are utilized in general, to produce a replica of the feedback signal (FS), in order to remove the original FS before being delivered to the loudspeaker component; however, a bias due to correlation of input–output signals was introduced into the HA system due to the spectrally colored nature of input signal. A novel approach of introducing a fuzzy interactive controller (FIC) with least squares delay (LSD)-based adaptive algorithm was utilized to minimize the bias, through which the filter coefficients were updated individually under reduced convergence rate. The magnitude of estimated filter coefficients in proportion to the system output was then evaluated by incorporating a rule-decision-table and achieved a steady-state performance in HA. The performance measures of FIC-LSD were compared with various well-known adaptive techniques and the obtained results proved that the proposed algorithm would provide a significant and robust acoustic feedback cancelation in the presence of varying environmental conditions.
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Jayanthi, G., Parthiban, L. (2022). Adaptive Feedback Cancelation in Hearing Aids Using Least Squares Delay-Based Fuzzy Interactive Controller. In: Kannan, S.R., Last, M., Hong, TP., Chen, CH. (eds) Fuzzy Mathematical Analysis and Advances in Computational Mathematics. Studies in Fuzziness and Soft Computing, vol 419. Springer, Singapore. https://doi.org/10.1007/978-981-19-0471-4_17
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