The annual conference of the International Society for Music Information Retrieval (ISMIR) is the world’s leading research forum on processing, analyzing, searching, organizing and accessing music-related data. The 21st ISMIR conference (https://ismir.github.io/ISMIR2020/), to be held in Montreal, Canada, welcomes contributions related to any aspect of Music IR, including foundations and theories for music processing, evaluation algorithms, applications, and analysis.
ISMIR 2020 welcomes full-paper contributions to any aspect of Music IR. Relevant topics include, but are not limited to:
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.
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.
MIR tasks: 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.
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 and interfaces; 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; gaming; business and marketing.