Curator 90 (talk | contribs) |
Curator 91 (talk | contribs) |
||
(One intermediate revision by the same user not shown) | |||
Line 12: | Line 12: | ||
|Academic Field=Multimedia Retrieval | |Academic Field=Multimedia Retrieval | ||
|Official Website=https://ismir2019.ewi.tudelft.nl/ | |Official Website=https://ismir2019.ewi.tudelft.nl/ | ||
+ | |DOI=10.25798/s88q-n032 | ||
|Type=Conference | |Type=Conference | ||
|Twitter account=@ismir2019 | |Twitter account=@ismir2019 | ||
Line 24: | Line 25: | ||
{{Organizer | {{Organizer | ||
|Contributor Type=organization | |Contributor Type=organization | ||
− | |Organization= | + | |Organization=Delft University of Technology |
}} | }} | ||
{{Organizer | {{Organizer |
Latest revision as of 08:07, 10 July 2023
Deadlines
Metrics
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.