Difference between revisions of "ISMIR 2019"
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{{Event | {{Event | ||
+ | |Acronym=ISMIR 2019 | ||
+ | |Title=20t20th International Society for Music Information Retrieval Conference | ||
+ | |Series=ISMIR | ||
+ | |Type=Conference | ||
+ | |Start date=2019/11/04 | ||
+ | |End date=2019/11/08 | ||
+ | |Homepage=https://ismir2019.ewi.tudelft.nl/ | ||
|Twitter account=@ismir2019 | |Twitter account=@ismir2019 | ||
+ | |City=Delft | ||
+ | |Country=Netherlands | ||
|Has host organization=TU Delft | |Has host organization=TU Delft | ||
|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 | ||
|has Proceedings Link=https://dblp.org/db/conf/ismir/ismir2019.html | |has Proceedings Link=https://dblp.org/db/conf/ismir/ismir2019.html | ||
− | + | |State=NL/ZH}} | |
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Topics of Interest | Topics of Interest | ||
* MIR data and fundamentals: | * MIR data and fundamentals: |
Revision as of 00:20, 25 October 2021
Event Rating
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List of all ratings can be found at ISMIR 2019/rating
ISMIR 2019 | |
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20t20th International Society for Music Information Retrieval Conference
| |
Event in series | ISMIR |
Dates | 2019/11/04 (iCal) - 2019/11/08 |
Homepage: | https://ismir2019.ewi.tudelft.nl/ |
Twitter account: | @ismir2019 |
Location | |
Location: | Delft, NL/ZH, Netherlands |
Committees | |
General chairs: | Cynthia C. S. Liem, Emilia Gómez |
PC chairs: | Arthur Flexer, Geoffroy Peeters, Julián Urbano, Anja Volk |
Table of Contents | |
Tweets by @ismir2019| colspan="2" style="padding-top: 2px; " | |
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.