• MIR fundamentals and methodology:
    • music signal processing;
    • symbolic music processing;
    • metadata, tags, linked data, and semantic web;
    • lyrics and other textual data;
    • web mining, and natural language processing;
    • multimodality.
  • Domain knowledge:
    • representations of music;
    • music acoustics;
    • computational music theory and musicology;
    • cognitive MIR;
    • machine learning/artificial intelligence for music;
    • computational ethnomusicology.
  • Musical features and properties:
    • melody and motives;
    • harmony, chords and tonality;
    • rhythm, beat, and tempo;
    • structure, segmentation, and form;
    • representations of music;
    • timbre, instrumentation, and singing voice;
    • musical style and genre;
    • musical affect, emotion, and mood;
    • expression and performative aspects of music.
  • MIR tasks:
    • sound source separation;
    • music transcription and annotation;
    • music generation;
    • 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.
  • Evaluation, datasets, and reproducibility:
    • evaluation methodology;
    • evaluation metrics;
    • novel datasets and use cases;
    • annotation protocols;
    • reproducibility;
    • MIR tasks.
  • Philosophical and ethical discussions:
    • philosophical and methodological foundations;
    • legal and societal aspects of MIR;
    • ethical issues related to designing and implementing MIR tools and technologies.
  • Human-centered MIR:
    • user behavior analysis and mining, user modeling;
    • human-computer interaction;
    • music interfaces and services;
    • personalization;
    • user-centered evaluation.
  • Applications:
    • digital libraries and archives;
    • music retrieval systems;
    • music recommendation and playlist generation;
    • music and health, well-being, and therapy;
    • music training and education;
    • music composition, performance, and production;
    • music videos, multimodal music systems;
    • gaming and augmented/virtual reality;
    • music heritage and sustainability;
    • business and marketing.