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Music Information Retrieval-Lecture Slides [Introduction]-Literature, Slides of Music Information Retrieval

Music Information Retrieval aims at extending the understanding and usefulness of music data, through the research, development and application of computational approaches and tools. Music Information Retrieval, Music data, Music information, MIR Industry, MIR Research community, Novelty, Harmony, Sound Classification.

Typology: Slides

2011/2012

Uploaded on 01/25/2012

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Music Information Retrieval
Juan Pablo Bello
MPATE-GE 2623 Music Information Retrieval
New York University
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Download Music Information Retrieval-Lecture Slides [Introduction]-Literature and more Slides Music Information Retrieval in PDF only on Docsity!

Music Information Retrieval

Juan Pablo Bello MPATE-GE 2623 Music Information Retrieval New York University

Juan Pablo Bello

  • Office: Room 626, 6th floor, 35 W 4th Street (ext. 85736)
  • Office Hours: Wednesdays 2-5pm
  • email: jpbello@nyu.edu
  • Personal webpage: https://files.nyu.edu/jb2843/public/Home.html
  • This course: http://www.nyu.edu/classes/bello/MIR.html

For example ...

Audio Signal

Spectrogram

Detection Function

Tempogram

BPM histogram

Electronica

Arousing

Fast

Folk

David Gray

Please Forgive me

Singer-songwriter

British

MIR Industry (a few examples)

  • Audio Identification: Shazam, Gracenote
  • Score Following: Rock Prodigy, SmartMusic, Rockband
  • Automatic Music Transcription: Zenph
  • Recommendation, Playlisting: Google Music, Last.fm
  • Machine Listening: Echonest (BBC, MTV and many more)

MIR Research community

  • ISMIR home and mailing list: http://www.ismir.net/
  • Cumulative list of all ISMIR papers: http://www.ismir.net/all-papers.html
  • MIR-related PhD theses: http://www.pampalk.at/mir-phds/
  • MIR Evaluation eXchange (MIREX): http://www.music-ir.org/mirex/wiki/ MIREX_HOME
  • Million Song Dataset: http://labrosa.ee.columbia.edu/millionsong/

Calendar: Lectures

  • Week 1-2 Time-frequency representations
  • Week 3 Novelty: onset detection
  • Week 4-5 Periodicity: pitch and beat tracking
  • Week 6 Low-level features: timbre analysis
  • Week 7 Harmony: alignment, chord and key recognition
  • Week 8 Structure: form analysis, segmentation
  • Week 9-10 Sound classification: autotagging, artist and instrument ID
  • Week 11-12 Similarity: fingerprinting, query-by-example, visualization

Calendar: Important dates Fall 2011

  • 9.4 - Labour day
  • 9.30 - (Friday 4-6pm) MBus/MTech meet and greet
  • 10.10 - Columbus day
  • 10.28 - (Friday 10am-2pm) MBus/MTech Innovation day
  • 12.12 - (Wednesday on monday schedule) - Catch up
  • 12.19 - Final project submission and presentation

Tutoring/Resources

  • TA: Tae Min Cho (tmc323@nyu.edu), Tuesdays 3-5pm, Room 623
  • TA: Jon Forsyth (jpf211@nyu.edu), Thursdays 3-5pm, Room 623
  • USE THE OFFICE HOURS (Wednesdays 2-5pm)
  • All relevant information is (or will be published) on the class website - Please read it carefully and keep checking for updates.
  • http://www.nyu.edu/classes/bello/MIR.html

To do

• INSTALL MATLAB ASAP!

  • Matlab documentation, tutorials, examples: www.mathworks.com/access/ helpdesk/help/techdoc/matlab.html
  • Signal Processing Toolbox documentation, tutorials, examples: www.mathworks.com/access/helpdesk/help/toolbox/signal/
  • Matlab file exchange: www.mathworks.com/matlabcentral/fileexchange/ loadCategory.do
  • START LOOKING FOR PROJECT TOPIC: Visit MIR Community links, talk to current members of the MARL-MIR group (meets wednesdays 10am in 6th floor conference room), Attend the Friday seminars.