*[ ** 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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