BYU

Abstract by Dallen Stark

Personal Infomation


Presenter's Name

Dallen Stark

Degree Level

Undergraduate

Abstract Infomation


Department

Statistics

Faculty Advisor

Mark Transtrum

Title

Audio Feature Reduction of Basketball Crowd Noise

Abstract

Our group is using machine learning to connect the acoustic signal of sporting event crowds to that crowd's emotional state. My initial work has focused on distinguishing two crowd events from each other (e.g. cheer vs. chant). Recordings of the crowd have been collected at BYU basketball, volleyball, soccer, and football games. Raw data is processed into spectral and low-level features. This feature set is very large, containing over 500 features, so learned models may have large uncertainty in their predictions. I am applying various feature reduction methods to identify the relevant variables for extracting the state of the crowd from the acoustic signal.