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Current retrieval systems can handle tens-of-thousands of music tracks but new systems need to aim at huge online music collections that contain tens-of-millions of tracks. ABSTRACT | 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.(More)
T he Internet has brought us a wealth of data, all now available at our fingertips. We can easily carry in our pockets thousands of songs, hundreds of thousands of images, and hundreds of hours of video. But even with the rapid growth of computer performance , we don't have the processing power to search this amount of data by brute force. This lecture note(More)
—We propose an automatic method for measuring content based music similarity, enhancing the current generation of music search engines and recommender 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)
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)
We propose a method for automatic fine-scale audio description that draws inspiration from ontological sound description methods such as Shaeffer's Objets Sonores and Smalley's Spectromorphology. Our goal is complete automation of audio description at the level of sound objects for indexing and retrieving sound segments within Internet audio documents. To(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)
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)