1. A speech recognition method based on user personalized information, characterized in that comprising: receiving a speech signal; decoding the speech signal according to a basic static decoding network to obtain a decoding path on each active node in the basic static decoding network, wherein the basic static decoding network is a decoding network formed by extending the words in a basic name language model into corresponding acoustic units, the basic name language model is a language model for describing the statistical probability between common words and the statistical probability between common words and names; if a decoding path enters a name node in the basic static decoding network, extending an extra network on the name node according to an affiliated static decoding network of a user, wherein the affiliated static decoding network is a decoding network formed by extending the words in a name language model of a particular user into corresponding acoustic units, the name language model of a particular user is a language model for describing the statistical probability of the specific name associated with the user; and returning a recognition result after the decoding is completed.