Probabilistic vector mappingwith trajectory informationfor noise-robust speech recognition
D.Y. Kim, C.K. Un · Electronics Letters · 1996
The authors propose a probabilistic vector mapping method with trajectory information for noise-robust speech recognition. The proposed method estimates a speech vector using not only the current noisy vector but also adjacent vectors in the form of a trajectory pattern. According to our isolated word recognition experiment, the new method yields a better recognition rate than the probabilistic vector mapping method previously proposed.