Abstract: System and methods for generating user behaviors using a speech recognition method are provided. The method may include obtaining an audio file including speech data associated with one or more speakers and separating the audio file into one or more audio sub-files that each includes a plurality of speech segments. Each of the one or more audio sub-files may correspond to one of the one or more speakers. The method may further include obtaining time information and speaker identification information corresponding to each of the plurality of speech segments and converting the plurality of speech segments to a plurality of text segments. Each of the plurality of speech segments may correspond to one of the plurality of text segments. The method may further include generating first feature information based on the plurality of text segments, the time information, and the speaker identification information.

Abstract: A corresponding grammar description file and a word category description file are defined based on a logical grammar by manifest language LGML according to a common sentence expression of a semantic meaning, in the grammar description file, the description for a common sentence is composed by operators, word categories, and functions, the word category description file is used to describe specific values for the word categories; the grammar description file and the word category description file are generated, with a reduction method according to a defined sequence, into a grammar tree for the grammar description file and word category trees for the word category description file; the word category trees are grafted at the positions of corresponding word categories on the grammar tree, forming a grammar tree for the semantic meaning, in this way, grammar compiling is accomplished.