The following list gives an overview of the main research areas and topics that are within the scope of
Music Information Retrieval.
MIR data and fundamentals • music signal processing • symbolic music processing • metadata, linked data and semantic web • social tags and user generated data • natural language processing, text and web mining • multi-modal approaches to MIR
Methodology • methodological issues and philosophical foundations • evaluation methodology • corpus creation • legal, social and ethical issues
Domain knowledge • representation of musical knowledge and meaning • music perception and cognition • computational music theory • computational musicology and ethnomusicology
Musical features and properties • melody and motives • harmony, chords and tonality • rhythm, beat, tempo • structure, segmentation and form • timbre, instrumentation and voice • musical style and genre • musical affect, emotion and mood • expression and performative aspects of music
Music processing • sound source separation • music transcription and annotation • optical music recognition • alignment, synchronization and score following • music summarization • music synthesis and transformation • fingerprinting • automatic classification • indexing and querying • pattern matching and detection • similarity metrics
Application • user behavior and modelling • user interfaces and interaction • digital libraries and archives • music retrieval systems • music recommendation and playlist generation • music and health, well-being and therapy • music training and education • MIR applications in music composition, performance and production • music and gaming • MIR in business and marketing ==MIREX==