Difference between revisions of "ISMIR 2019"
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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 | ||
+ | |has Proceedings Link=https://dblp.org/db/conf/ismir/ismir2019.html | ||
}} | }} | ||
Topics of Interest | Topics of Interest | ||
− | + | * MIR data and fundamentals: | |
− | + | music signal processing; symbolic music processing; metadata, tags, linked data, and semantic web; | |
− | * MIR data and fundamentals: music signal processing; symbolic music processing; metadata, tags, linked data, and semantic web; lyrics | + | 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. |
Latest revision as of 18:50, 4 June 2020
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, Netherlands |
Loading map... | |
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 | |
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.
Facts about "ISMIR 2019"
Acronym | ISMIR 2019 + |
End date | November 8, 2019 + |
Event in series | ISMIR + |
Event type | Conference + |
Has coordinates | 51° 59' 58", 4° 21' 46"Latitude: 51.999458333333 Longitude: 4.362725 + |
Has general chair | Cynthia C. S. Liem + and Emilia Gómez + |
Has location city | Delft + |
Has location country | Category:Netherlands + |
Has program chair | Arthur Flexer +, Geoffroy Peeters +, Julián Urbano + and Anja Volk + |
Has twitter | @ismir2019 + |
Homepage | https://ismir2019.ewi.tudelft.nl/ + |
IsA | Event + |
Start date | November 4, 2019 + |
Title | 20t20th International Society for Music Information Retrieval Conference + |