Title :
Prediction of hearing aid performance using the multiple model least squares technique
Author :
Parsa, Vjay ; Jamieson, Donald G.
Author_Institution :
Natural Centre for Audiology, Univ. of Western Ontario, London, Ont., Canada
Abstract :
Measurement of noise and distortion in hearing aids is important for the design, fitting and assessment of these devices. In addition, it is imperative to test the hearing aids with speech signals to accurately predict their “real world” performance. In this paper, an adaptive system identification approach is taken to quantify the distortion and noise in a hearing aid. The hearing aid was modelled as a time varying autoregressive moving average (ARMA) system whose coefficients are estimated on a block-by-block basis using the multiple model least squares (MMLS) algorithm. Several speech-based distortion measures are derived from the modelling procedure which is shown to perform well in predicting perceptual judgements of hearing aid quality
Keywords :
autoregressive moving average processes; hearing aids; identification; least squares approximations; time-varying systems; ARMA system; MMLS; adaptive system identification approach; assessment; block-by-block estimation; design; distortion; fitting; hearing aid performance; multiple model least squares technique; noise; perceptual judgement; speech signals; speech-based distortion measures; time varying autoregressive moving average system; Adaptive systems; Auditory system; Autoregressive processes; Distortion measurement; Hearing aids; Noise measurement; Predictive models; Speech; System identification; Testing;
Conference_Titel :
Electrical and Computer Engineering, 2001. Canadian Conference on
Conference_Location :
Toronto, Ont.
Print_ISBN :
0-7803-6715-4
DOI :
10.1109/CCECE.2001.933737
