NON-STANDARD SPEECH DETECTION SYSTEM AND METHOD

• US 20160118050A1
• Filed: 10/22/2015
• Published: 04/28/2016
• Est. Priority Date: 10/24/2014
• Status: Active Grant

• Current Assignee: Sestek Ses Ve Iletisim Bilgisayar Teknolojileri
• Original Assignee: Sestek Ses Ve Iletisim Bilgisayar Teknolojileri
• Inventors: ARSLAN, Mustafa Levent
• Granted Patent: US 9,659,564 B2
• Time in Patent Office: Days
• US Class Current: 1/1
• CPC Class Codes: G10L 15/07 to the speaker
• CPC Class Codes: G10L 15/26 Speech to text systems G10L15/08 takes precedence
• CPC Class Codes: G10L 17/26 Recognition of special voice characteristics, e.g. for use in lie detectors; Recognition of animal voices
• CPC Class Codes: G10L 2015/227 of the speaker; Human-factor methodology
• CPC Class Codes: G10L 25/63 for estimating an emotional state

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.

Claims

7-1. The non-standard speech detection method according to claim 7, wherein at the step of “

comparing new voice input with the personal standard speech style in the standard speech style model database”

;

speech of an individual is decided according to compatibility of a standard speech style pre-determined by the system.