Title :
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
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;
Conference_Titel :
Acoustics, Speech, and Signal Processing, 1990. ICASSP-90., 1990 International Conference on
Conference_Location :
Albuquerque, NM
DOI :
10.1109/ICASSP.1990.115953
