The second part of the Good Systems: Acoustic Surveillance & Big Data Series. Event participants will be asked to identify their research objectives with sound and use computational analytics to analyze sound files. Questions to consider will include what is the nature of the quantification of sound? What does it mean to break sound down into feature sets for big data analysis? 

Brian McFee is Assistant Professor of Music Technology and Data Science New York University. He received the B.S. degree (2003) in Computer Science from the University of California, Santa Cruz, and M.S. (2008) and Ph.D. (2012) degrees in Computer Science and Engineering from the University of California, San Diego. His work lies at the inter-section of machine learning and audio analysis. He is an active open source software developer, and the principal maintainer of the librosa package for audio analysis.