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Báo cáo hóa học: " Research Article Comparison of Linear Prediction Models for Audio Signals"

Tuyển tập báo cáo các nghiên cứu khoa học quốc tế ngành hóa học dành cho các bạn yêu hóa học tham khảo đề tài: Research Article Comparison of Linear Prediction Models for Audio Signals | Hindawi Publishing Corporation EURASIP Journal on Audio Speech and Music Processing Volume 2008 Article ID 706935 24 pages doi 10.1155 2008 706935 Research Article Comparison of Linear Prediction Models for Audio Signals Toon van Waterschoot and Marc Moonen Division SCD Department of Electrical Engineering ESAT Katholieke Universiteit Leuven KasteelparkArenberg 10 3001 Leuven Belgium Correspondence should be addressed to Toon van Waterschoot toon.vanwaterschoot@esat.kuleuven.be Received 12 June 2008 Accepted 18 December 2008 Recommended by Mark Clements While linear prediction LP has become immensely popular in speech modeling it does not seem to provide a good approach for modeling audio signals. This is somewhat surprising since a tonal signal consisting of a number of sinusoids can be perfectly predicted based on an all-pole LP model with a model order that is twice the number of sinusoids. We provide an explanation why this result cannot simply be extrapolated to LP of audio signals. If noise is taken into account in the tonal signal model a low-order all-pole model appears to be only appropriate when the tonal components are uniformly distributed in the Nyquist interval. Based on this observation different alternatives to the conventional LP model can be suggested. Either the model should be changed to a pole-zero a high-order all-pole or a pitch prediction model or the conventional LP model should be preceded by an appropriate frequency transform such as a frequency warping or downsampling. By comparing these alternative LP models to the conventional LP model in terms of frequency estimation accuracy residual spectral flatness and perceptual frequency resolution we obtain several new and promising approaches to LP-based audio modeling. Copyright 2008 T. van Waterschoot and M. Moonen. This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use distribution and reproduction in any medium provided the