George Tzanetakis

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Musical genres are categorical labels created by humans to characterize pieces of music. A musical genre is characterized by the common characteristics shared by its members. These characteristics typically are related to the instrumentation, rhythmic structure, and harmonic content of the music. Genre hierarchies are commonly used to structure the large(More)
Existing audio tools handle the increasing amount of computer audio data inadequately. The typical tape-recorder paradigm for audio interfaces is inflexible and time consuming, especially for large data sets. On the other hand, completely automatic audio analysis and annotation is impossible using current techniques. Alternative solutions are semi-automatic(More)
Musical genres are categorical descriptions that are used to describe music. They are commonly used to structure the increasing amounts of music available in digital form on the Web and are important for music information retrieval. Genre categorization for audio has traditionally been performed manually. A particular musical genre is characterized by(More)
We report on the tempo induction contest organized during the International Conference on Music Information Retrieval (ISMIR 2004) held at the University Pompeu Fabra in Barcelona, Spain, in October 2004. The goal of this contest was to evaluate some state-of-the-art algorithms in the task of inducing the basic tempo (as a scalar, in beats per minute) from(More)
Computer Music Journal Roger B. Dannenberg,* William P. Birmingham,† George Tzanetakis,†† Colin Meek,§ Ning Hu,* and Bryan Pardo¶ *School of Computer Science Carnegie Mellon University Pittsburgh, Pennsylvania 15213 USA {roger.dannenberg, ning.hu}@cs.cmu.edu †Math and Computer Science Department Grove City College Grove City, Pennsylvania 16127 USA(More)