Frequency weighted linear prediction | IEEE Conference Publication | IEEE Xplore

Frequency weighted linear prediction


Abstract:

A new spectral distance measure is defined by inserting a multiplicative frequency weighting term into the conventional Itakura-Saito measure. Then the weighting function...Show More

Abstract:

A new spectral distance measure is defined by inserting a multiplicative frequency weighting term into the conventional Itakura-Saito measure. Then the weighting function is a simple one pole function, then the minimization of the distance between a signal spectrum and an arbitrary N-pole filter results in a set of linear equations that is symmetric and solvable by Cholesky decomposition. When the weighting function is a multiple pole function, the resulting spectral distance minimization produces a set of nonlinear algebraic equations, but fortunately a simple method exists for obtaining an approximate solution which can be refined using the Newton- Raphson method. Results of some preliminary trials in applying the technique to LPC vocoding are described.
Date of Conference: 03-05 May 1982
Date Added to IEEE Xplore: 29 January 2003
Conference Location: Paris, France

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