ISMIR 2019

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Venue

Delft, Netherlands

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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.
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