Call for Papers

ISMIR 2015 welcomes contributions to the fields of music information retrieval, including but not limited to the following topics:

    MIR Data and Fundamentals

  • music signal processing

  • symbolic music processing

  • metadata, linked data and semantic web

  • social tags and user generated data

  • natural language processing, text and web mining

  • multimodal approaches to MIR

  • Methodology

  • methodological issues and philosophical foundations

  • evaluation methodology

  • corpus creation

  • legal, social and ethical issues

  • Domain Knowledge

  • representation of musical knowledge and meaning

  • music perception and cognition

  • computational music theory

  • computational musicology and ethnomusicology

  • 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

  • Application

  • user behaviour and modelling

  • user interfaces and interaction

  • digital libraries and archives

  • music retrieval systems

  • music recommendation and playlist generation

  • music and health, wellbeing and therapy

  • music training and education

  • MIR applications in music composition, performance and production

  • music and gaming

  • MIR in business and marketing


All accepted papers should be presented at the conference either as oral presentation or as poster and they will be published in the ISMIR conference proceedings. All research papers will go through a double-blind review and selection process with at least three reviewers per submission. Here are the submission details.