8. The method as claimed in claim 5 , wherein locating and comparison of the candidate data sets further refers the connecting sequences of the speech features and a speech rule database.
5. A method for multi-lingual speech recognition, comprising the steps of: performing the following steps by a digital signal processing system; transferring a mixed multi-lingual speech signal into a plurality of speech features; comparing a plurality of multi-lingual query commands to obtain a plurality of multi-lingual baseforms; selecting and combining the multi-lingual baseforms, comprising: fixing left contexts of the multi-lingual baseforms and mapping right contexts of the multi-lingual baseforms to obtain a mapping result; fixing right context and mapping the left contexts of the multi-lingual baseforms to obtain the mapping result if the right contexts of the multi-lingual baseforms mapping fails; and obtaining the multi-lingual context-speech mapping data according to the mapping result; storing the multi-lingual context-speech mapping data in a multi-lingual model database; locating and comparing a plurality of candidate data sets corresponding to the speech features according to the multi-lingual model database to find match probability of a plurality of candidate speech models of the candidate data sets; and selecting a plurality of resulting speech models corresponding to the speech features from the candidate speech models according to the match probability to generate a speech command.