Music Technology Seminar (MUMT621)

Music Information Acquisition, Preservation, and Retrieval

Outline for Winter 2012

ISMIR paper deadline: 13 April 2012
01/10  
01/17

Special Guest: Cathy Martin, “Information Literacy”

Choice of:
01/24

HTML presentations (10–15 min)

  • Yinan Cao: CMME
  • Ying Qin: Themefinder
  • Gautam: MIDI
  • Christopher: Cantus
01/31
  • Classifiers (genre, instrument, mood, performer, composer, rhythm, beat tracking, etc.)
  • Émilie: Aria
  • Greg: McGill Billboard Dataset
  • Mike: IMSLP
  • Hannah: Million Song Dataset
02/07

Slide-based presentation I

  • Émilie: RDA for music
  • Hannah: MusicXML
  • Yinan Cao: MPEG7
  • Gautam: Audio compression techniques
02/14
  • Mike: Ogg Vorbis
  • Christopher: LilyPond
  • Ying Qin: MPEG1
02/21
  • Reading Week: No class
 
02/28
  • Recommendations
  • Playlists

Special Guest: Cory McKay, “jMIR” (slides)

  • Greg: MEI

Slide-based presentation II

  • Émilie: k-Nearest Neighbour
  • Mike: Neural Nets
  • Hannah: GMM
03/06
  • Yinan Cao: SVM
  • Christopher: Dynamic Programming
  • Ying Qin: Adaboost
  • Greg: HMM
  • Gautam: Reinforcement Learning
03/13

Slide-based presentation III

  • Mike: Timbre Recognition
  • Christopher: jSymbolic
  • Émilie: Digitization in music libraries
  • Hannah: Melodic extraction (symbolic & audio)
  • Greg: Audio chord recognition
03/20
  • Indexing
  • Watermarks

Final project proposal due

03/27

Slide-based presentation III

  • Gautam: ACE
  • Yinan Cao: Blackboard polyphonic transcription
  • Ying Qin: Audio beat tracking

Slide-based presentation IV

  • Christopher: Sharing musical information through the Semantic Web and desktop
  • Hannah: Basics of similarity matrices and dynamic time warping
  • Émilie: Advanced search features in commercial music sites
04/03
  • Web applications
  • SOA (service-oriented architecture)
    • loosely coupled and interoperable services
    • web services
    • mashups
  • Web 2.0 (map)

Slide-based presentation IV

  • Yinan Cao: Toward computational atonal segmentation
  • Ying Qin: Social tagging
  • Mike: Music21
  • Gautam: Recommendation / Playlist systems
  • Greg: Multiple F0 estimation

 
04/10

Final project bibliography due

Final project presentation

Assignments

Assignment #1 (Due 01/24) 4%

HTML presentation of existing music databases (10–15 min.):

Assignment #2 (Due 02/07) 6% Slide-based presentation I (15 min.)
  • Slide-based presentation of MPEG formats (MPEG1, MPEG4, MPEG7, MPEG21), Ogg Vorbis, symbolic formats (MusicXML, MEI ), or audio compression techniques
  • Annotated bibliography HTML page with links
Assignment #3 (Due 2/28) 10% Slide-based presentation II (15 min.)
  • 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
Assignment #4 (Due 03/13) 10% Slide-based presentation III (15 min.)
  • Slide-based presentation on topics of trascription, recognition, annotation, and classification. It may include general 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 overviews, real-time pitch tracking, piano music transcription, timbre recognition, genre classification, review of a component of jMIR.
  • Annotated bibliography HTML page with links
  • Written summary (2–3 pages) with extensive bibliography (Chicago style, pre-16th edition)
Assignment #5 (Due 03/20) 5%
  • Final project proposal (1–2 pages with partial bibliography in Chicago style, pre-16th edition, inlcude sub goals)
Assignment #6 (Due 03/27) 10% Slide-based presentation IV (15 min.)
  • Slide-based presentation on review of topics related to similarity, query systems, recommendation / playlist systems, 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, pre-16th edition)

Assignment #7 (Due 04/10) 5%

  • Final project presentation (5 min.)
  • Final project full bibliography (Chicago style, pre-16th edition)
Final project (Due 05/04) 40%
  • Software project with description (2–3 pages)

or

  • Research paper (5–10 pages)

Reading list
  • Byrd, D., and T. Crawford. 2001. Problems of music information retrieval in the real world. Information Processing & Management 38 (2): 249–72.
  • Casey, M., et al. 2008. Content-based music information retrieval. Proceedings of the IEEE 96 (4): 668–96.
  • Downie, S. 2003. Music infomration retrieval. In Annual Review of Information Science and Technology 37, edited by B. Cronin, 295–340. Medford, NJ: Information Today.
  • Foote, J. 1999. An Overview of Audio Information Retrieval. Multimedia Systems 7(1): 2–10.
  • All ISMIR papers (2000–10)
  • MIREX
  • PhDTheses and Doctoral Dissertations Related to Music Information Retrieval (Pampalk)

Participants
Created: 2004.01.02 Modified: Ichiro Fujinaga
McGill Crest