Effektiver Einschränkungsalgorithmus für Spracherkennung nach dem Hidden-Markov-Modell
摘要
A method for efficient pruning which reduces central processing unit loading during real time speech recognition. A CPU uses a predetermined threshold for discarding not useful or necessary information. Useful information is stored in an available scoring buffer slot. A slot is said to be available if its last-time field does not equal the current time-index. To prevent pruning of a slot in the best path, the current time-index has to be propagated to all slots in the best path. This back-propagation increases CPU loading and is alleviated by referring the backpointer of a state within a model to its start state.
申请公布号
DE69028430(T2)
申请公布日期
1997.03.27
申请号
DE1990628430T
申请日期
1990.04.04
申请人
TEXAS INSTRUMENTS INC., DALLAS, TEX., US
发明人
DODDINGTON, GEORGE R., RICHARDSON, TEXAS 75080, US;PAWATE, BASAVARAJ I., DALLAS, TEXAS 75243, US