International Symposium/Conference on Music Information Retrieval

Country: China

City: Suzhou

Abstr. due: 21.04.2017

Dates: 23.10.17 — 28.10.17

Organizing comittee e-mail: https://ismir2017.smcnus.org/submission/

Organizers: International Society for Music Information Retrieval

 

Music-Information Retrieval (Music-IR) is a wide-ranging area of study and includes elements from the disciplines of musicology, machine learning, signal processing, cognitive science, library and information science, music therapy, and many others. At ISMIR 2017 we aim to present work covering the state-of-the-art of this entire field of study, allowing researchers from every branch of this field to exchange ideas, compare results, and initiate collaborations.

Topics of Interest include but are not limited to:

Music-IR data and fundamentals such as:

Music signal processing
Symbolic music processing
Metadata, tags, linked data, and semantic web
Lyrics and other textual data, web mining, and natural language processing
Multimodal approaches to Music-IR
Extracting musical features and properties such as

Genre
Mood and emotion
Instrumentation
Melody and harmony
Pitches and chords
Key and mode
Rhythm, beat, and tempo
Structure
Timbre
Expressive and performative elements
Estimating music metadata such as:

Artist
Album
Release date
Popularity
Tags
Cover song detection
Methods for manipulating, analyzing, and processing musical sequences such as:

Sound source separation
Alignment, synchronization, and score following
Automatic transcription
Music synthesis, transformation, and augmentation
Fingerprinting
Applications for Music-IR such as:

Music-IR for health and therapy
Music-IR for learning
Music-IR for indexing, querying, and retrieving music
Music-IR for pattern matching and detection
Music-IR for determining similarity
Music-IR for music recommendation
Music-IR for music training
Music-IR for gaming
Music-IR for enhanced performances
Music-IR for business and marketing
Music-IR for digital libraries and archives
Domain-specific knowledge such as:

Computational music theory
Computational musicology
Cognitive Music-IR
Representations of music
Methodological and social concerns such as:

Corpus creation
Annotation methodology
Evaluation methodology
Legal issues
Ethical issues
User-based concerns such as:

User behavior
User modeling
Human-computer interfaces
Technical Program Notes
All 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 2017 as either a poster or an oral presentation. The Program Committee will determine which submissions will be presented orally and which will be presented as posters; this determination will not be based on the relevance or potential impact of the papers, but rather on the content and the best method to reach each paper’s intended audience. Each paper may have a maximum of six pages of technical content (including figures and possible references) and one additional page which may only contain references.

Conference Web-Site: https://ismir2017.smcnus.org/