Narber, Cody G.2008-05-152008-05-152008-05-15http://hdl.handle.net/2097/776Current research involving vocal emotion detection has taken a variety of different approaches, and has found certain acoustic attributes to characterize different emotional states. While there have been improvements in classification over the past few years, computer classification is not nearly as accurate as human classification. This paper proposes the existence of an attribute that has not been examined, which can be used as a measure for detecting emotion in human vocal samples. It is shown that the new infrasonic attribute is significant when examining agitated emotions. Therefore, it can be used to help improve vocal emotion detection.en-US© the author. This Item is protected by copyright and/or related rights. You are free to use this Item in any way that is permitted by the copyright and related rights legislation that applies to your use. For other uses you need to obtain permission from the rights-holder(s).http://rightsstatements.org/vocab/InC/1.0/EmotionComputerDetectingStressClassification of emotion using sub audible frequencies in vocal dataThesisComputer Science (0984)