Title :
The challenge of inverse-E: the RASTA-PLP method
Author :
Hermansky, Hynek ; Morgan, Nelson ; Bayya, Aruna ; Kohn, Phil
Author_Institution :
US West Advanced Technologies, Boulder, CO, USA
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
Keywords :
filtering and prediction theory; noise; spectral analysis; speech analysis and processing; speech recognition; RASTA-PLP; continuous speech recognition; convolutional noise; error rate; inverse-E; large vocabulary; relative spectral-perceptual linear predictive; robust time-varying spectrum; speaker-independent telephone digit recognition; speech; speech analysis; speech processing; Auditory system; Cepstral analysis; Drives; Error analysis; Frequency estimation; Humans; Robustness; Speech analysis; Speech processing; Steady-state;
Conference_Titel :
Signals, Systems and Computers, 1991. 1991 Conference Record of the Twenty-Fifth Asilomar Conference on
Conference_Location :
Pacific Grove, CA
Print_ISBN :
0-8186-2470-1
DOI :
10.1109/ACSSC.1991.186557
