The decipher speech recognition system
Mike Cohen, Hy Murveit, Jacob Bernstein, P. J. Price, Mitchel Weintraub · International Conference on Acoustics, Speech, and Signal Processing · 2002
A large-vocabulary, continuous-speech system, called DECIPHER, which is based on a hidden Markov model (HMM) approach and is designed to achieve high word accuracy in a speaker-independent mode is described. The results of a series of experiments that test acoustic and phonological adaptation of the DECIPHER system to the pronunciations of a single speaker in a speaker-dependent task are presented. Estimating the probabilities of alternative pronunciations and speaker-dependent phonology are discussed.>