*[ ** Apologies for cross-posting ** ]hello,On behalf of the ISMIR2018 <http://ismir2018.ismir.net> organizers and program committee chairs, we are pleased to announce the Call for Papers <http://ismir2018.ircam.fr/pages/call-papers.html> is now available (below for convenience). Please refer to the conference website for more information, including an overview of Important Dates <http://ismir2018.ircam.fr/pages/important-dates.html>. We would additionally highlight that the abstract submission deadline (23 March) is now less that two months away, and wish you luck in preparing your submissions. We are all extremely excited for this year's conference, and hope to see you in Paris!best,Emmanouil Benetos Emilia GómezXiao HuEric Humphrey OverviewThe 19th International Conference on Music Information Retrieval (ISMIR 2018) will be held in Paris, France, from September 23-27, 2018. The annual conference of the International Society for Music Information Retrieval (ISMIR) is the world’s leading research forum on processing, analyzing, searching, organizing and accessing music-related data. Music becomes music after being processed by the human mind and each person perceives the music in a different and complex way. Therefore, this conference embraces the complexity and diversity of music by showcasing ideas and applications that aim to enhance the way in which we interact with music.Music Information Retrieval (MIR) is a truly interdisciplinary area, involving researchers, developers, educators, librarians, students and professionals from the disciplines of musicology, cognitive science, library and information science, computer science, electrical engineering and many others. Therefore, like previous ISMIR editions, ISMIR 2018 will provide a venue for the exchange of ideas, issues, results and perspectives among the different profiles of people working with music and computing in a broad sense. ISMIR 2018 will cover the entire area of MIR, providing ample room for diversity and new developments.We are accepting submissions for: - Conference Papers- Tutorials- Late-breaking Papers & Demos- Exhibition of Installation using Interactive Machine-Learning for Music Topics of Interest include but are not limited to: 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 musicMethodology and impact - corpus creation- annotation methodology- evaluation methodology- legal issues- ethical issuesMusical 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 musicMusic 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- user-centered evaluation 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 marketingScientific Program NotesAll papers will go through a double-blind review. Each paper will be assigned at least three reviewers per submission. All accepted papers will be presented at ISMIR 2018 as either a poster or an oral presentation. Each paper may have a maximum of six pages of scientific content (including figures and possible references) and one additional page which may only contain references.*
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