The challenge of inverse-E: the RASTA-PLP method
Hynek Heřmanský, N. Morgan, Aruna Bayya, Phil Kohn · 2002
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.>