Spectral resolution and noise robustness in auditory modeling

Author

Sreenivas, Thippur ; Singh, Karamjeet ; Niederjohn, Russell

Author_Institution

Dept. of Electr. & Comput. Eng., Marquette Univ., Milwaukee, WI, USA

fYear

1990

fDate

3-6 Apr 1990

Firstpage

817

Abstract

An analysis is presented of an auditory model of the inner ear to achieve robust spectral estimation. To obtain a better estimate of spectral magnitude, a new method of determining aggregate synchrony is developed. Using mathematical analysis, the first-stage bandpass filtering in the model is shown to directly determine spectral resolution and noise robustness. Statistical evaluation results are presented for the performance factors of bias, variance, resolution, and noise threshold of the auditory spectral estimator

Keywords

band-pass filters; filtering and prediction theory; hearing; noise; physiological models; spectral analysis; speech analysis and processing; statistical analysis; aggregate synchrony determination; auditory model; bias; first-stage bandpass filtering; inner ear; mathematical analysis; noise threshold; spectral estimation; spectral resolution; variance; Aggregates; Auditory system; Band pass filters; Ear; Filtering; Humans; Mathematical analysis; Mathematical model; Noise robustness; Psychoacoustic models; Signal resolution; Speech analysis; Speech enhancement; Speech processing;

fLanguage

English

Publisher

ieee

Conference_Titel

Acoustics, Speech, and Signal Processing, 1990. ICASSP-90., 1990 International Conference on

Conference_Location

Albuquerque, NM

ISSN

1520-6149

Type

conf

DOI

10.1109/ICASSP.1990.115953

Filename

115953