Abstract: 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.
Type:
Grant
Filed:
October 22, 2015
Date of Patent:
May 23, 2017
Assignee:
SESTEK SES VE ILETISIM BILGISAYAR TEKNOLOJILERI SANAYI TICARET ANONIM SIRKETI
Abstract: 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.
Type:
Application
Filed:
October 22, 2015
Publication date:
April 28, 2016
Applicant:
SESTEK SES VE ILETISIM BILGISAYAR TEKNOLOJILERI SANAYI TICARET ANONIM SIRKETI