@inproceedings{7bcb09efe3044cc2999854dc3dca98e8,
title = "Acoustic spectral estimation using higher order statistics",
abstract = "Assuming an auto regressive (AR) filter model driven by a non-Gaussian white noise we formulate a general parameter estimation problem. A maximum likelihood solution gives an AR estimate of the filter and the probability distribution function parameters for non-Gaussian input. The proposed method is optimal in the information theoretic sense, giving the most probable model for the source and filter under the higher order statistics constrains of the observed signal. Analysis of human singing voices and musical instruments is presented and its acoustic interpretation is discussed.",
author = "Shlomo Dubnov and Naftali Tishby",
note = "Publisher Copyright: {\textcopyright} 1994 IEEE.; 12th IAPR International Conference on Pattern Recognition - Conference C: Signal Processing - Conference D: Parallel Computing, ICPR 1994 ; Conference date: 09-10-1994 Through 13-10-1994",
year = "1994",
month = jan,
day = "1",
doi = "10.1109/ICPR.1994.577110",
language = "English",
series = "Proceedings - International Conference on Pattern Recognition",
publisher = "Institute of Electrical and Electronics Engineers",
pages = "1--5",
booktitle = "Proceedings - International Conference on Pattern Recognition",
address = "United States",
}