Music Technology Seminar (MUMT621)

Music Information Acquisition, Preservation, and Retrieval


Outline for Winter 2020

ISMIR Paper submission deadline: 10 April 8 May 2020 (topics)

01/07  
01/14

 

01/21

HTML presentations (20 min)

  • Suzuka Kokubu: Shazam
  • Gianluca Grazioli: Open Annotated Audio Databases (e.g., AudioSet, Freesound, AcousticBrainz, SoundCloud, and Jamendo)
01/28
  • Classifiers (genre, instrument, mood, performer, composer, rhythm, beat tracking, etc.)

HTML presentations (20 min)

  • Naomi Ouelett: Cantus Databse and Cantus Index
  • Vincent Cusson: NSynth Dataset
  • Amy Ruskin: Live-Music Databases
  • Hana Sambur: Spotify & Last.FM Web API
02/04
  • Max Henry: Multitrack Datasets

Slide-based presentation I

  • Suzuka: Audio Compression Techniques
  • Hanna: WAV/WMA
  • Naomi: MEI
02/11

Slide-based presentation I

  • Gianluca: Overview of MPEG standards
  • Amy: MusicXML
  • Vincent: FLAC and other lossless audio file formats
  • Max: Ogg Vorbis / Opus
02/18

Slide-based presentation II

  • Gianluca: Genetic Algorithms
  • Max: Audio Features
  • Suzuka: Neural Networks
02/25

Slide-based presentation II

  • Vincent: Support Vector Machines
  • Hana: Dynamic Programming
  • Amy: Gradient Boosting
03/03
  • Reading Week: No class
 
03/10

Slide-based presentation II

  • Naomi: Random Forest

Slide-based presentation III

  • Vincent: Beat / Tempo Tracking

03/17

Class cancelled

03/24

Evaluation of MIR: MIREX

Class cancelled

03/31

Final project proposal due

Slide-based presentation III

  • Suzuka: Music Emotion Recognition
  • Naomi: Genre Classification using jSymbolic
  • Gianluca: Audio Source Separation
  • Hana: Speech / Music Separation

04/07

Slide-based presentation III

  • Amy: Cover Song Identification
  • Max: Real-time Pitch Tracking

Final project bibliography due

Final project presentations (10 min.)

  • Vincent: The AMI Dataset: Developing a Crowdsourced Amateur MIDI Keyboard Performance Dataset
  • Suzuka: Correlating Muscle Activities and Performer’s Musical Tension
  • Naomi: Case Study: Empirical Research on Early Music Genre Classification with jSymbolic
  • Hana: A Retrospective Review of Music Recommender Systems
  • Gianluca: Reverb Detection System
  • Amy: Artist Recommendation System
  • Max: Auscultation of the Lungs with MIR Audio Features and Convolutional Neural Networks

Slide-based presentation IV

     

Assignments

Assignment #1 (Due 01/21) 4%

Subscribe to the ISMIR Google Community Announcements: https://groups.google.com/a/ismir.net/forum/#!forum/community

HTML-based presentation of existing music databases. Describe the content, history, and uses of the database, highlighting any research conducted with it. (20 min.):


Assignment #2 (Due 02/04) 6% Slide-based presentation I (20 min.)
  • Slide-based presentation of audio file formats: AIFF, WAV/WMA, Ogg Vorbis / Opus, Lossless formats (FLAC), etc.; MPEG formats: MPEG1 (MP3), MPEG4 (AAC), MPEG7, & MPEG21; symbolic fille formats: MEI, MusicXML, MIDI, etc., or audio compression techniques
  • Annotated bibliography (short summary and evaluation) as an HTML page or a PDF file (use links, if avialable) (Chicago style, Documentation II: Author-Date References, 17th edition)

Assignment #3 (Due 2/18) 10% Slide-based presentation II (20 min.)
  • Slide-based presentation of review of topics related to classifiers, e.g.: Neural Networks, Support Vector Machines, Gaussian Mixture Models, Hidden Markov Models, AdaBoost, or Dynamic Programming; include music information retrieval applications.
  • Written summary (2–3 pages, single spaced, single or double columns, 1" margins) with an annotated bibliography (Chicago style, Documentation II: Author-Date References,17th edition)

Assignment #4 (Due 03/10) 10% Slide-based presentation III (20 min.)
  • Slide-based presentation on topics of transcription, 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, etc.
  • Written summary (2–3 pages) with an extensive bibliography (Chicago style, Documentation II: Author-Date References, 17th edition), which should include practically all significant papers on the subject. You do not need to annotated them but should reference each one of them in the summary paper.

Assignment #5 (Due 03/17) 5%
  • Final project proposal (1–2 pages) plus a partial bibliography (Chicago style, Documentation II: Author-Date References, 17th edition; include subgoals)

Assignment #5 (Due 03/31) 5%
  • Final project proposal (1–2 pages), including subgoals, plus a partial bibliography (Chicago style, Documentation II: Author-Date References, 17th edition)

Assignment #6 (Due 03/31) 10% Slide-based presentation IV (20 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.
  • Written summary (2–3 pages) plus an extensive bibliography (Chicago style, Documentation II: Author-Date References: 17th edition)

Assignment #7 (Due 04/07) 5%

  • Final project presentation (10 min.)
  • Final project abstract (1 page) plus a full bibliography (Chicago style, Documentation II: Author-Date References, 17th edition)

Final project (Due 05/03 05/10) 40% 50%
  • Software project with description (2–3 pages) (Repository on Github)

or

  • Research paper (5–10 pages) (ISMIR style)

Improving writing skills for McGill graduate students: Graphos

Reading list

Participants

  • Vincent Cuisson
  • Max Henry
  • Suzuka Kokubu
  • Gianluca Grazioli
  • Naomi Ouellet
  • Amy Ruskin
  • Hana Sambur
  • Mathew Skarha
  • Julian Vanasse
  • Christian Yost
Created: 2004-01-02 Modified: Ichiro Fujinaga <
McGill Crest