Aiming for best fit t-norms in speech recognition
Gábor Gosztolya, László L. Stachó · 2008
Here we generalize the model of automatic speech recognition (ASR) based on the maximization of products of probability likelihoods of each corresponding speech frame and phoneme by applying strict t-norms. We formulate it as a minimization problem in terms of the logarithmic generator of strict t-norms and investigate the experimental solutions for piecewise linear logarithmic generators. The performance of the best fit t-norms found in this manner for a database used earlier proved to be superior than that of classical t-norms.