The present invention relates to a non-standard speech detection system and method whereby a speech is analyzed based on models that are trained using personalized speech for each individual. The model is stored in a database and used to analyze a speech in real time to determine the content and behavior of an individual who is a party to a conversation that produces the speech. The results of the analysis can be used to determine if a conversation takes place under normal circumstances or under extraneous circumstances.