7. A non-standard speech detection method for verifying identity of a caller according to his speech, the method comprising the steps of: recording, to a database, conversations of an individual made by the individual over a voice communication channel to obtain voice recordings including voice of the individual; analyzing acoustic speech characteristics from the voice recordings in the voice database to obtain speech characteristics of the individual; analyzing behavioral characteristics of the individual by using a speech recognition module applied to the voice recordings in the voice database to obtain behavioral characteristics of the individual; converting the voice recordings in the voice database into texts and analyzing the speech content of the individual from the texts; creating a personal standard speech style from the speech characteristics, the behavioral characteristics, and the speech content; storing the personal standard speech style in a standard speech style model database; comparing acoustic speech characteristics and content of a new voice input from a caller with the personal standard speech style in the standard speech style model database; evaluating whether the new voice matches the personal standard speech style; verifying identity of the caller according to results of the evaluating to obtain a verification of the identity of the caller; transmitting the the verification of the identity of the user to related pre-determined places, wherein the step of analyzing speech content of the individual includes obtaining sentence patterns, words and phrases, language model n-gram parameters, and semantic parameters from the content of the text, wherein the step of analyzing behavioral characteristics of the individual by using the speech recognition module applied to the voice recordings in the voice database comprises: evaluating speech behavioral characteristic parameters of the individual, interruption interval for another party to the conversation, and speech overlap with the other party, wherein the speech behavioral characteristic parameters include speaking speed, monotony, hesitance, and loudness of voice.
7. A non-standard speech detection method for verifying identity of a caller according to his speech, the method comprising the steps of: recording, to a database, conversations of an individual made by the individual over a voice communication channel to obtain voice recordings including voice of the individual; analyzing acoustic speech characteristics from the voice recordings in the voice database to obtain speech characteristics of the individual; analyzing behavioral characteristics of the individual by using a speech recognition module applied to the voice recordings in the voice database to obtain behavioral characteristics of the individual; converting the voice recordings in the voice database into texts and analyzing the speech content of the individual from the texts; creating a personal standard speech style from the speech characteristics, the behavioral characteristics, and the speech content; storing the personal standard speech style in a standard speech style model database; comparing acoustic speech characteristics and content of a new voice input from a caller with the personal standard speech style in the standard speech style model database; evaluating whether the new voice matches the personal standard speech style; verifying identity of the caller according to results of the evaluating to obtain a verification of the identity of the caller; transmitting the the verification of the identity of the user to related pre-determined places, wherein the step of analyzing speech content of the individual includes obtaining sentence patterns, words and phrases, language model n-gram parameters, and semantic parameters from the content of the text, wherein the step of analyzing behavioral characteristics of the individual by using the speech recognition module applied to the voice recordings in the voice database comprises: evaluating speech behavioral characteristic parameters of the individual, interruption interval for another party to the conversation, and speech overlap with the other party, wherein the speech behavioral characteristic parameters include speaking speed, monotony, hesitance, and loudness of voice. 10. The non-standard speech detection method according to claim 7 , wherein the related pre-determined places include financial and e-commerce institutions that require verification of the caller.