| 摘要 |
Maintaining dynamic categories for speech rules in a speech recognition system which has a plurality of speech rules each comprising a language model and action. Each speech rule indicates whether the language model includes a flag identifying whether the words in the language model is dynamic according to changing data in the speech recognition system. At periodic intervals, such as system initialization or application program launch time, for each flag in each speech rule which indicates that words in the language model are dynamic, the words of each of the language model(s) are updated depending upon the state of the system. Concurrent with the determination of acoustic features during speech recognition, a current language model can be created based upon the language models from these speech rules. Also, speech rules are partitioned according to the context in which they are active. When speech is detected, concurrent with acoustic feature extraction, the current state of the computer system is used to determine which rules are active and how they are to be combined in order to generate a language model for word recognition. Also, partitioning speech recognition rules for generation of a current language model and interpretation in a speech recognition system is described. Rapid and efficient generation of a language model upon the detection of a current context at a second interval (e.g. upon the detection of speech in one embodiment) then may be performed. |
