Automatic tuning of probe noise for continuous acoustic feedback cancelation in hearing aids

Muhammad Tahir Akhtar, Akinori Nishihara

Research output: Chapter in Book/Report/Conference proceedingConference contribution

7 Citations (Scopus)

Abstract

In this paper, we propose a probe signal-based method for continuous acoustic adaptive feedback cancelation (AFC) in digital hearing aids. The main idea is to incorporate a time varying gain with the probe signal, such that a high level probe noise is injected during the transient state, and a low level probe signal is used after the system has converged. The proposed method is essentially based on two adaptive filters working in tandem. The weights between these two adaptive filters are exchanged by an efficient weight-transfer strategy, such that both adaptive filters give a good estimate of the acoustic feedback path. Simulation results demonstrate that the proposed method achieves good modeling accuracy, preserves good speech quality, and maintains high output SNR at the steady-state.

Original languageEnglish
Title of host publication2016 24th European Signal Processing Conference, EUSIPCO 2016
PublisherEuropean Signal Processing Conference, EUSIPCO
Pages888-892
Number of pages5
Volume2016-November
ISBN (Electronic)9780992862657
ISBN (Print)9780992862657
DOIs
Publication statusPublished - Nov 28 2016
Event24th European Signal Processing Conference, EUSIPCO 2016 - Budapest, Hungary
Duration: Aug 28 2016Sep 2 2016

Publication series

NameEuropean Signal Processing Conference
Volume2016-November

Conference

Conference24th European Signal Processing Conference, EUSIPCO 2016
CountryHungary
CityBudapest
Period8/28/169/2/16

Keywords

  • Acoustic feedback
  • Hearing aids
  • NLMS algorithm
  • Probe noise

ASJC Scopus subject areas

  • Signal Processing
  • Electrical and Electronic Engineering

Fingerprint Dive into the research topics of 'Automatic tuning of probe noise for continuous acoustic feedback cancelation in hearing aids'. Together they form a unique fingerprint.

Cite this