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Music information retrieval (MIR) is the interdisciplinary science of retrieving information from music. Those involved in MIR may have a background in academic musicology , psychoacoustics , psychology , signal processing , informatics , machine learning , optical music recognition , computational intelligence , or some combination of these.
Music information retrieval (MIR) is the broader problem of retrieving music information from media including music scores and audio. Optical character recognition (OCR) is the recognition of text which can be applied to document retrieval, analogously to OMR and MIR. However, a complete OMR system must faithfully represent text that is present ...
By processing musical signals, software can identify HPCP features and use them to estimate the key of a piece, [2] to measure similarity between two musical pieces (cover version identification), [3] to perform content-based audio retrieval (audio matching), [4] to extract the musical structure (audio structure analysis), [5] and to classify ...
Computational musicology includes any disciplines that use computation in order to study music. 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]
With the development of applications that use this semantic information to support the user in identifying, organising, and exploring audio signals, and interacting with them. These applications include music information retrieval, semantic web technologies, audio production, sound reproduction, education, and gaming.
A substantial body of specialized libraries has been contributed by users, which extends OpenMusic's functionality into such areas as constraint programming, aleatoric composition, spectral music, minimalist music, music theory, fractals, music information retrieval, sound synthesis etc.
[1] [2] Other music informatics research topics include computational music modeling (symbolic, distributed, etc.), [2] computational music analysis, [2] optical music recognition, [2] digital audio editors, online music search engines, music information retrieval and cognitive issues in music. Because music informatics is an emerging ...
The Networked Environment for Music Analysis (NEMA) is a project for music information processing. The goal is to create an open and extensible web-service based resource framework for music information processing and retrieval. The work is performed at the International Music Information Retrieval Systems Evaluation Laboratory (IMIRSEL).