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|Acronym=ISMIR 2019 | |Acronym=ISMIR 2019 | ||
|Title=20t20th International Society for Music Information Retrieval Conference | |Title=20t20th International Society for Music Information Retrieval Conference | ||
| + | |In Event Series=Event Series:ISMIR | ||
| + | |Single Day Event=no | ||
| + | |Start Date=2019/11/04 | ||
| + | |End Date=2019/11/08 | ||
| + | |Event Status=as scheduled | ||
| + | |Event Mode=on site | ||
| + | |City=Delft | ||
| + | |Country=Country:NL | ||
| + | |Academic Field=Multimedia Retrieval | ||
| + | |Official Website=https://ismir2019.ewi.tudelft.nl/ | ||
| + | |DOI=10.25798/s88q-n032 | ||
|Type=Conference | |Type=Conference | ||
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|Twitter account=@ismir2019 | |Twitter account=@ismir2019 | ||
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|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 | ||
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|pageEditor=User:Curator 27 | |pageEditor=User:Curator 27 | ||
|contributionType=1 | |contributionType=1 | ||
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}} | }} | ||
| + | {{Event Deadline}} | ||
| + | {{Organizer | ||
| + | |Contributor Type=organization | ||
| + | |Organization=Delft University of Technology | ||
| + | }} | ||
| + | {{Organizer | ||
| + | |Contributor Type=organization | ||
| + | |Organization=International Society for Music Information Retrieval | ||
| + | }} | ||
| + | {{Event Metric}} | ||
| + | {{S Event}} | ||
Topics of Interest | Topics of Interest | ||
* MIR data and fundamentals: | * MIR data and fundamentals: | ||
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.
