A Method for Unbiased Identification of the Feedback Path in Hearing Aids

Author

Sakai, Hideaki ; Fujinaga, Takehiro

Author_Institution

Dept. of Syst. Sci., Kyoto Univ.

Volume

3

fYear

2006

fDate

14-19 May 2006

Abstract

It is well known that the conventional adaptive algorithm for cancellation of the effect of the feedback path in hearing aids is biased. In this paper the stationary point of a modified adaptive algorithm by splitting the delay in the conventional one is derived by a direct method considering the causality constraint and an explicit expression of the bias is obtained. Also, a stability condition is mentioned. Then, when the input signal to hearing aids is a moving average (MA) process or an autoregressive (AR) process, unbiased algorithms for identification of the feedback path are proposed. It is shown by simulations that the new algorithm for an AR process converges considerably faster than that of the previously proposed two-channel adaptive algorithm

Keywords

adaptive filters; audio signal processing; autoregressive moving average processes; hearing aids; adaptive filters; autoregressive process; feedback path; hearing aids; moving average process; stability condition; two-channel adaptive algorithm; unbiased identification; Adaptive algorithm; Adaptive filters; Algorithm design and analysis; Delay; Feedback; Hearing aids; Microphones; Signal processing; Stability; Transfer functions;

fLanguage

English

Publisher

ieee

Conference_Titel

Acoustics, Speech and Signal Processing, 2006. ICASSP 2006 Proceedings. 2006 IEEE International Conference on

Conference_Location

Toulouse

ISSN

1520-6149

Print_ISBN

1-4244-0469-X

Type

conf

DOI

10.1109/ICASSP.2006.1660760

Filename

1660760