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Titlebook: Exploring Music Contents; 7th International Sy Sølvi Ystad,Mitsuko Aramaki,Kristoffer Jensen Conference proceedings 2011 Springer-Verlag Gm

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Pattern Induction and Matching in Music Signalstion - the temporal sequence of events can be subdivided into shorter patterns that are sometimes repeated and transformed. Methods are described for extracting such patterns from musical audio signals (pattern induction) and computationally feasible methods for retrieving similar patterns from a large database of songs (pattern matching).
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https://doi.org/10.1007/978-3-642-23126-1audio data processing; computational musicology; computer music generation; melodic similarity recognit
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, particularly for musically informed users. We describe two recent approaches to modelling musical harmony, using a probabilistic and a logic-based framework respectively, which attempt to reduce the gap between computational models and human understanding of music. The first is a chord transcripti
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https://doi.org/10.1057/9781403981639buted as games for gaming consoles and applications for mobile devices that currently use proprietary file formats, but standardization orgranizations have been working to develop an interchangeable format. This paper surveys the applications and their requirements. It then reviews the current stand
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Trade Union Strategies after May 1968,mited to changing the global volume or the track. Imagine now that the listener can turn into a musician, playing with the sound sources present in the stereo mix, changing their respective volumes and locations in space. For example, a given instrument or voice can be either muted, amplified, or mo
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