The challenge of inverse-E: the RASTA-PLP method

Abstract

A novel technique for estimating a robust time-varying spectrum, RASTA-PLP (relative spectral-perceptual linear predictive), is described. A large test was conducted on a speaker-independent telephone digit recognition task using speech that had been corrupted with convolutional noise. Results from this test show an order-of-magnitude improvement in error rate over conventional spectral estimation techniques such as LPC (linear prediction coding) or PLP. Results from similar tests with large vocabulary continuous speech recognition show a halving of error rate with no tuning for the new problem.< <ETX xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">&gt;</ETX>