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
|Acronym=ISMIR 2019
+
|State=NL/ZH}}
|End date=2019/11/08
 
|Series =ISMIR
 
|Type  =Conference
 
|Country=NL
 
|State =NL/ZH
 
|City  =NL/ZH/Delft
 
|Homepage=https://ismir2019.ewi.tudelft.nl/
 
|Start date=2019/11/04
 
|Title  =20t20th International Society for Music Information Retrieval Conference}}
 
 
Topics of Interest
 
Topics of Interest
 
  * MIR data and fundamentals:  
 
  * MIR data and fundamentals:  

Revision as of 00:20, 25 October 2021


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ISMIR 2019
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
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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.