• Introduction
• Networks

• Other Databases
• Research topics

Special Guest: Carolyn Doi, “Music Information Literacy”

HTML presentations (10–15 min):

• Finn: IMSLP
• Alastair: Themefinder / MuseData
• Trevor: Meldex
  

• Standards and Representations

Special Guest: Andrew Hankinson, “Document Representation in Digital Music Libraries”

• Classifiers (genre, instrument, mood, performer, composer, rhythm, beat tracking, etc.)

Special Guest: Ashley Burgoyne, “HMM and Random Fields”

Slide-based presentation I

• Alastair: Flac
• Finn: MusicXML
• Trevor: MPEG1

• Recognition and Analysis

• Transcriptions and Annotations

Slide-based presentation II

• Trevor: HMM
• Finn: Clustering / SOM
• Alastair: SVM

• Reading Week: No class

Special Guest: Cory McKay, "jMIR"

Slide-based presentation III

• Finn: Score following
• Trevor: Feature extraction

• Similarity

• Alastair: Audio fingerprinting

• Query

• Indexing
• Watermarks
• Final project proposal due

Slide-based presentation IV

• Trevor: Cover song identification
• Finn: Meter detection and transcription
• Alastair: Monophonic Transcription

• Usability
• Systems issues
• Web services

• Web applications
• Flex (picnik)
• Ajax (e.g., Google Suggest) Live example
• JavaFX
• SOA (service-oriented architecture)
  • loosely coupled and interoperable services
  • web services
  • mashups
• Web 2.0 (map)
  • Collaboration
  • Tagging
  • Folksonomy
  • Crowdsourcing
• Evaluation of MIR: MIREX
  • Newtworked Environment for Music Analysis (NEMA)
  • NEMA-DIY demo video
  • performanc RENdering CONtest for computer systems (RENCON)
• Intellectual property issues
• Copyright Quiz
• Michael Geist on Canada's C-32
• Michael Moore on sharing
• RIAA on piracy
• Steven Jobs on DRM
• Socio-cultural aspects

Final project bibliography due

Final project presentation

Assignments

Assignment #1 (Due 01/12) 4%

HTML presentation of existing music databases:

• Themefinder
• Meldex
• Cantus & Scribe
• Aria
• IMSLP / Petrucci Music Library
• Corpus Mensurabilis Musicae Electronicum
• MIDI
• Online music store (e.g., iTunes, Rhapsody/Urge)

• Slide-based presentation of MPEG formats (MPEG1, MPEG4, MPEG7, MPEG21), Ogg Vorbis, symbolic formats (MusicXML, GUIDO), or audio compression techniques
• Annotated bibliography HTML page with links

• Slide-based presentation of review of topics related to classifiers, e.g.: Neural Netwoks, Support Vector Machines, Gaussian Mixture Models, Hidden Markov Models, AdaBoost, or Dynamic Programming
• Annotated bibliography HTML page with links
• Written summary (2–3 pages) with complete bibliography

• Slide-based presentation of review of a component of jMIR, review of transcription systems (monophonic, polyphonic, separation): Beat-box transcription, singing transcription, beat/tempo tracking using audio, beat/tempo tracking using MIDI, blackboard polyphonic transcription, Goto's works, historical overview, real-time pitch tracking, piano music transcription, or exploratory research on topics related to your final project.
• Annotated bibliography HTML page with links
• Written summary (2–3 pages) with extensive bibliography (Chicago style)

• Final project proposal (1–2 pages with partial bibliography, inlcude sub goals)

• Slide-based presentation on review of topics related to similarity, review of transcription systems (monophonic, polyphonic, separation): Beat-box transcription, singing transcription, beat/tempo tracking using audio, beat/tempo tracking using MIDI, blackboard polyphonic transcription, Goto's works, historical overview, real-time pitch tracking, piano music transcription, performer identification, structural (form) analysis, cover-song identification.
• Annotated bibliography HTML page with links
• Written summary (2–3 pages) with extensive bibliography (Chicago style)

• Final project full bibliography

• Software project with description (2–3 pages)

or

• Research paper (5–10 pages)