Connected digit recognition using vector quantization
H. Bourlard, Christian J. Wellekens, Hermann Ney · 2005
The principles of classification applied to the representation of the words in a vocabulary lead to the clustering of the acoustic vectors into prototype vectors. For a small number of prototypes, recognition scores comparable to those observed with unclustered vocabularies are obtained with a highly reduced computation time. Two different forms (deterministic and stochastic) of the single-level recognition method for concatenated words are described and the improvements obtained by vector quantization are put into evidence. The use of prototypes in the training phase of the finite stochastic automata representing a vocabulary word is also described.