Music information retrieval

Music information retrieval (MIR) is the interdisciplinary science of retrieving information from music.

This includes:

• Computational methods for classification, clustering, and modelling — musical feature extraction for mono- and polyphonic music, similarity and pattern matching, retrieval
• Formal methods and databases — applications of automated music identification and recognition, such as score following, automatic accompaniment, routing and filtering for music and music queries, query languages, standards and other metadata or protocols for music information handling and retrieval, multi-agent systems, distributed search)
• Software for music information retrieval — Semantic Web and musical digital objects, intelligent agents, collaborative software, web-based search and semantic retrieval, query by humming, acoustic fingerprinting
• Human-computer interaction and interfaces — multi-modal interfaces, user interfaces and usability, mobile applications, user behavior
• Music perception, cognition, affect, and emotions — music similarity metrics, syntactical parameters, semantic parameters, musical forms, structures, styles and genres, music annotation methodologies
• Music analysis and knowledge representation — automatic summarization, citing, excerpting, downgrading, transformation, formal models of music, digital scores and representations, music indexing and metadata. Music Scalar Theory Analysis is a new addition to Music Analysis of MIR where the focus of finding the key and scale of a Blind Music Signal is a non trivial pursuit.
• Music archives, libraries, and digital collections — music digital libraries, public access to musical archives, benchmarks and research databases
• Intellectual property rights and music — national and international copyright issues, digital rights management, identification and traceability
• Sociology and Economy of music — music industry and use of MIR in the production, distribution, consumption chain, user profiling, validation, user needs and expectations, evaluation of music IR systems, building test collections, experimental design and metrics

References

• Michael Fingerhut (2004). "Music Information Retrieval, or how to search for (and maybe find) music and do away with incipits", IAML-IASA Congress, Oslo (Norway), August 8–13, 2004.

See also

• Musicology
• Ethnomusicology
• Music notation
• Artificial intelligence
• Digital signal processing
• Digital rights management
• Audio mining

External links

• International Society for Music Information Retrieval
• Music Information Retrieval research
• J. Stephen Downie: Music information retrieval
• Nicola Orio: Music Retrieval: A Tutorial and Review
• Micheline Lesaffre: Music Information Retrieval: Conceptual Framework, Annotation and User behavior.

MIR applications

• The Listen Game — UCSD Computer Audition Lab MIR music ranking game

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