(mobo import Concept___Events-migrated) |
(mobo import Concept___Events_With_Host_Organization-migrated) |
||
Line 7: | Line 7: | ||
|City=Delft | |City=Delft | ||
|Country=Country:NL | |Country=Country:NL | ||
− | |||
|has general chair=Cynthia C. S. Liem, Emilia Gómez | |has general chair=Cynthia C. S. Liem, Emilia Gómez | ||
|has program chair=Arthur Flexer, Geoffroy Peeters, Julián Urbano, Anja Volk | |has program chair=Arthur Flexer, Geoffroy Peeters, Julián Urbano, Anja Volk | ||
Line 23: | Line 22: | ||
{{Event Deadline}} | {{Event Deadline}} | ||
{{S Event}} | {{S Event}} | ||
+ | {{Organizer | ||
+ | |Organization=TU Delft | ||
+ | |Contributor Type=organization | ||
+ | }} | ||
Topics of Interest | Topics of Interest | ||
* MIR data and fundamentals: | * MIR data and fundamentals: |
Revision as of 16:46, 10 October 2022
Deadlines
Venue
Delft, Netherlands
Warning: Venue is missing. The map might not show the exact location.
Topics of Interest
* MIR data and fundamentals: 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. * Evaluation and Methodology: philosophical and methodological foundations; evaluation methodology and reproducibility; statistical methods for evaluation; MIR tasks, datasets and annotation protocols; evaluation metrics. * 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. * User-centered MIR: user behavior and modeling; human-computer interaction and interfaces; personalization; user-centered evaluation; legal, social and ethical issues. * 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.