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Analysis can often require some summarising, [2] and for music (as with many other forms of data) this is achieved by feature extraction, especially when the audio content itself is analysed and machine learning is to be applied. The purpose is to reduce the sheer quantity of data down to a manageable set of values so that learning can be ...
Musicologists associated with the new musicology often use musical analysis (traditional or not) along with or to support their examinations of the performance practice and social situations in which music is produced and that produce music, and vice versa. Insights from the social considerations may then yield insight into analysis methods.
Optical music recognition relates to other fields of research, including computer vision, document analysis, and music information retrieval. It is relevant for practicing musicians and composers that could use OMR systems as a means to enter music into the computer and thus ease the process of composing , transcribing , and editing music.
Each source listed below offers access to collections of digitized music documents (typically originating from printed or manuscript musical sources). They may contain scanned images, fully encoded scores, or encodings designed for music playback (e.g., via MIDI). Some (e.g., KernScores) are adapted for music analysis.
It includes sub-disciplines such as mathematical music theory, computer music, systematic musicology, music information retrieval, digital musicology, sound and music computing, and music informatics. [2] As this area of research is defined by the tools that it uses and its subject matter, research in computational musicology intersects with ...
Schenkerian analysis is a method of musical analysis of tonal music based on the theories of Heinrich Schenker (1868–1935). The goal of a Schenkerian analysis is to interpret the underlying structure of a tonal work and to help reading the score according to that structure.
Musical sound can be more complicated than human vocal sound, occupying a wider band of frequency. Music signals are time-varying signals; while the classic Fourier transform is not sufficient to analyze them, time–frequency analysis is an efficient tool for such use. Time–frequency analysis is extended from the classic Fourier approach.
Journal of New Music Research is a peer-reviewed academic journal covering research on musicology (including music theory), philosophy, psychology, acoustics, computer science, engineering, and other disciplines. Articles deal with theory, analysis, composition, performance, uses of music, instruments, and other music technologies.