Music Information Retrieval Topics

• Standards and Representations
  • Metadata schema (Dublin Core, XML, MARC)
  • MPEG
  • Symbolic (MEI, MusicXML, Guido, NIFF, kern, etc.)
  • Coding (MIDI, AIFF, AES31, Ogg)
  • Format conversions
  • Formal models (FRBR, RDF)
  • Protocols for MIR (CDDB, MusicBrainz ID)
• Similarity
  • Melody
  • Polyphony
  • Timbre
  • Rhythm
  • Form
  • Style / genre
• Recognition / Analysis / Classification
  • Optical music recognition
  • Instrument
  • Timbre
  • Style / genre
    • Recommendation systems
    • Playlist generation
  • Performer / Singer identification
  • Pattern discovery (form)
  • Melody / feature extraction
  • Mood / emotion
  • Estimating metadata (date, cover song, etc.)
• Transcription and annotations
  • Melody
  • Source separation
  • Onset detection
  • Beat, tempo, and meter induction
  • Chords and key identification
  • Lyrics
  • Performance / gesture analysis
  • Polyphony
• Query (content-based)
  • Fingerprinting (e.g., Shazam)
  • By example
  • Summarization
    • Filtering for music and music queries
  • Humming
  • Expressiveness, complexity
• Knowledge representation
  • Automatic summarization
  • Indexing and metadata
  • Classification
  • Taxonomy
  • User tags
• Human-computer interaction and interfaces
  • Usability
  • Multi-modal user interfaces
  • User models: Needs and expectations
  • Design
  • Personalization
  • Music imaging / score digitization
  • Viewing (visualization) and listening tools
  • Mobile applications
• Corpora and databases
  • Digital music libraries and archives
  • Public access to musical archives
  • Multi-agent systems, distributed search
  • Text and web mining
  • Web services an APIs
  • P2P / L2L search
• Systems issues
  • Performance
  • Compression
  • Scalability
  • Databases
  • Architecture
  • Distributed search
  • Balance loading
  • Multi-agent systems
  • Mobile applications
• Evaluation of MIR
  • User needs and expectations
  • Building test collections
  • Annotation protocols
  • Experimental design
  • Metrics and benchmarks
• Socio-cultural aspects
  • Business models and marketing
  • Music and cultural heritage valorization and sustainability
  • Non-Western music (compmusic)
  • Personalized user profiles
  • Validation / authentication
  • Ethics of AI
• Intellectual property issues
  • Watermarking
  • Digital rights management