Ranking & Metrics
Impact Score is a novel metric devised to rank conferences based on the number of contributing the best scientists in addition to the h-index estimated from the scientific papers published by the best scientists. See more details on our methodology page.
Research Impact Score:3.50
Contributing Best Scientists:39
Papers published by Best Scientists105
Research Ranking (Computer Science)162
Conference Call for Papers
Relevant topics for ISMIR 2022 include, but are not limited to:
MIR fundamentals and methodology: 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; computational ethnomusicology.
Musical features and properties: melody and motives; harmony, chords and tonality; rhythm, beat, tempo; structure, segmentation, and form; representations of music; timbre, instrumentation, and singing voice; musical style and genre; musical affect, emotion and mood; expression and performative aspects of music.
MIR tasks: sound source separation; music transcription and annotation; music generation; 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.
Evaluation, datasets, and reproducibility: evaluation methodology; evaluation metrics; novel datasets and use cases; annotation protocols; reproducibility; MIR tasks.
Philosophical and ethical discussions: philosophical and methodological foundations; legal and societal aspects of MIR; ethical issues related to designing and implementing MIR tools and technologies.
Human-centered MIR: user behavior analysis and mining, user modeling; human-computer interaction; music interfaces and services; personalization; 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; music videos, multimodal music systems; gaming, augmented/virtual reality; music heritage and sustainability; business and marketing.