SPEECH RECOGNIZING METHOD

摘要

PROBLEM TO BE SOLVED: To carry out highly precise speech recognition making good use of environment-dependent phoneme standard patterns. SOLUTION: While a network is generated by utilizing context free grammar having an environment-dependent phoneme as a termination symbol and an LR(land reserve) purser, a standard pattern is determined and while an input speech is matched against standard patterns of HMM(hidden markov model) a one-pass search is advanced; and environment-dependent phoneme standard patterns as used as the standard patterns of HMM and when an environment- dependent phoneme P3 is predicted by the LR purser from a tip node 3 at the time of the extension of the network, tracing from a new node 4 back to the last node is performed to set the environment-dependent phoneme standard patterns to the arc between nodes 3 and 4 by using phoneme strings P1 , P2 , and P3 as a triphone model.