Music Technology Seminar (MUMT621)

Music Information Acquisition, Preservation, and Retrieval


Outline for Fall 2026

ISMIR Submission deadlines: Abstract: 2027-04 (topics), Full paper: 2027-04

09/01
  • Class cancelled
 
09/08 Register for CIRMMT Workshop
09/15

 

09/22

Slide or HTML presentation I (10 min)

  • Alex: MedlyDB
  • Belen: C-Brahms and Mutopia Project
  • Yueqiao: Maestro
09/29
  • Classifiers (genre, instrument, mood, performer, composer, rhythm, beat tracking, etc.)

Slide or HTML presentation I (10 min)

  • Tianqi: CompMusic
  • John: Dig that Lick & Weimar Jazz Database
10/06

Attend CIRMMT Workshop

10/13
  • Reading Week: No class

 

10/20

Slide-based presentation II (15 min)

  • Tianqi: Feature extraction and dynamic programming (in the context of beat tracking)
  • Belen: Neural networks (gradient-based optimization)
  • Yueqiao: Transformers (self-attention and sequence learning)
10/27

Slide-based presentation II (15 min)

  • Alex: Hidden Markov Models 
11/03

Slide-based presentation III (15 min)

  • John: Random Forest and GBDTs
  • Belen: Piano transcription
  • Yueqiao: Chord recognition
  • Tianqi: Music emotion recognition
  • Alex: Sequential Bayesian estimation 
11/10

Slide-based presentation III (15 min)

  • John: Score following

11/17

Slide-based presentation 1V (15 min)

  • Tianqi: Computational ethnomusicology
  • John: Melodic similarity

Submit a draft of the final project proposal (1–2 pages) plus a partial bibliography

11/24

Evaluation of MIR: MIREX

Slide-based presentation 1V (15 min)

12/01

Final project presentations (5–8 min)

Submit the final project proposal (1–2 pages) with a full bibliography

Assignments

The last slide of every presentation should include a: “AI / LLM Use Statement”

Assignment #1 (Due 09/22) 10% Slide-based presentation I (10 min)


Assignment #2 (Due 10/20) 10% Slide-based presentation II (15 min)
  • Slide-based presentation of review of topics related to classifiers, e.g.: Feature extraction (audio or symbolic), Feature selection (with Genetic Algorithms) Neural Networks (shallow, deep, CNN, RNN, LSTM, Transformers, etc.), Support Vector Machines, Decision Trees (ID3 & C4.5), Random Forest, Gradient Boosting, Gaussian Mixture Models, Hidden Markov Models, AdaBoost, and Dynamic Programming; include music information retrieval applications. Submit the slides as a PDF file.
  • Written summary (2–3 pages, single spaced, single columns 1" margins) plus an annotated bibliography (short summary and evaluation) as a PDF file (use links, if avialable) (Chicago style, Documentation II: Author-Date References, 16th edition) of the presentation topic.
  • Before submitting the summary, ask a Chappie: “Find any issues with this assignment: grammar, spelling, etc.”

Assignment #3 (Due 11/03) 10% Slide-based presentation III (15 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, diarization, Goto’ works, realtme pitch tracking, piano music transcription, timbre / instrument recognition, genre classification, structural analysis, performer identification, music emotion recognition, review of a component of jMIR, etc. Submit the slides as a PDF file.
  • Written summary (2–3 pages) with an extensive bibliography (Chicago style, Documentation II: Author-Date References, 16th 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. Before submitting ask a Chappie: “Find any issues with this assignment: grammar, spelling, etc. Also check every entry in the Bibliography is referenced in the main prose.”

Assignment #4 (Due 11/17) 10% Slide-based presentation IV (15 min)
  • Slide-based presentation on review of topics related to similarity (melody, harmony, timbre, genre, etc.), query systems, recommendation / playlist systems, historical overviews in MIR, computational musicology / ethnomusicology, or exploratory research on topics related to your final project. Submit the slides as a PDF file.
  • Written summary (2–3 pages) plus an extensive bibliography (Chicago style, Documentation II: Author-Date References: 16th edition) of the presentation topic. Before submitting ask a Chappie: “Find any issues with this assignment: grammar, spelling, etc. Also check every entry in the Bibliography is referenced in the main prose.»

Assignment #5 (Due 11/17) 5%

  • A draft of the final project proposal (1–2 pages), including a tentative title, subgoals, plus a partial bibliography (Chicago style, Documentation II: Author-Date References, 16th edition).

Assignment #6 (Due 12/01) 5%

  • Final project presentation describing what you intend to do (5–8 min). Submit the slides as a PDF file.
  • Final project proposal (1–2 pages) with the title and a full bibliography (Chicago style, Documentation II: Author-Date References, 16th edition).

Final project (Due 12/30) 40%
  • Software project with description (2–3 pages) (Repository on Github) (ISMIR style)

or

Improving writing skills for McGill graduate students: Graphos

Reading list

Participants

  • Alex Nieva Chavez
  • Belen Tanaka
  • John Sweenie
  • Tianqi Peng
  • Yueqiao Zhang
Created: 2004-01-02 Modified: Ichiro Fujinaga <
McGill Crest