Relevant topics for ISMIR 2025 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. 
• Knowledge-driven approaches to MIR:
• representations of music
• 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
• optical music recognition
• alignment, synchronization, and score following
• music summarization
• fingerprinting
• automatic classification
• indexing and querying
• pattern matching and detection
• similarity metrics. 
• Generative tasks:
• music and audio synthesis
• transformations
• interactions
• real-time considerations
• evaluation metrics
• qualitative evaluations
• artistically-inspired generative tasks. 
• Evaluation, datasets, and reproducibility:
• evaluation methodology
• evaluation metrics
• novel datasets and use cases
• annotation protocols
• reproducibility. 
• 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. 
• Computational musicology:
• mathematical music theory
• systematic musicology
• digital musicology. 
• Creativity:
• tools for artists, creative practice involving MIR or generative technology, human-ai co-creativity, creativity and cognition
• creativity and learning
• computational creativity
• humanistic discussions. 
• 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.