| 摘要 |
A method for recognizing speech comprising the steps of receiving a speech input (SI) of a user, determining a set of ordered hypotheses (OH) for said received speech input (SI), wherein said set of ordered hypotheses (OH) contains tag information (TI) for each of said ordered hypotheses, which is descriptive for at least one type or variation of pronunciation, using a tag language model (LM2) operating on said tag information (TI), re-ordering said set of hypotheses using said tag language model (LM2), outputting a set of re-ordered hypotheses (ROH) and choosing the best hypothesis (BH). <IMAGE> |
