Michael A. Casey

Learn More
| The steep rise in music downloading over CD sales has created a major shift in the music industry away from physical media formats and towards online products and services. Music is one of the most popular types of online information and there are now hundreds of music streaming and download services operating on the World-Wide Web. Some of the music(More)
We propose the method of independent subspace analysis (ISA) for separating individual audio sources from a single-channel mixture. ISA is based on independent component analysis (ICA) but relaxes the constraint that requires at least as many mixture observation signals as sources. A second extension to ICA is the use of dynamic components to represent(More)
We propose an automatic method for measuring content-based music similarity, enhancing the current generation of music search engines and recommended systems. Many previous approaches to track similarity require brute-force, pair-wise processing between all audio features in a database and therefore are not practical for large collections. However, in an(More)
OBJECTIVE To assess adolescents' perceptions about factors influencing their food choices and eating behaviors. DESIGN Data were collected in focus-group discussions. SUBJECTS/SETTING The study population included 141 adolescents in 7th and 10th grade from 2 urban schools in St Paul, Minn, who participated in 21 focus groups. ANALYSIS Data were(More)
The sound classification and indexing tools are organized into low-level descriptors (LLD), AudioSpectrumBasis and AudioSpectrumProjection, and high-level description schemes (DSs), SoundModel and SoundClassificationModel, which are based on the ContinuousHiddenMarkovModel and ProbabilityClassificationModel DSs defined in the Multimedia Description Schemes(More)
We introduce a new model for extracting end points of music structure segments, such as intro, verse, chorus, break and so forth, from recorded music. Our methods are applied to the problem of grouping audio features into continuous structural segments with start and end times corresponding as closely as possible to a ground truth of independent human(More)
Modern collections of symbolic and audio music content provide unprecedented possibilities for musicological research, but traditional qualitative evaluation methods cannot realistically cope with such amounts of data. We are interested in harmonic analysis and propose key-independent chord idioms derived from a bottom-up analysis of musical data as a new(More)
We describe an algorithm for finding approximate sequence similarity at all scales of interest, being explicit about our modelling assumptions and the parameters of the algorithm. We further present an algorithm for producing section labels based on the sequence similarity, and compare these labels with some expert-provided ground truth for a particular set(More)