Music 254/CS 275b Spring 2023 Syllabus
Music 254/CS 275b "Computational Music Analysis "
Stanford University (Spring 2023).
This music information retrieval course (previously listed as "Music Query, Analysis, and Style Simulation") builds on the foundation of Music 253/CS 275A (Symbolic Musical Information). Using an open-source analysis platform (such as the Humdrum Toolkit (unix/bash shell), Humdrum Extras (C++), or Music21 (Python), or their preferred programming language/environment) students plan and design their own applications involving symbolic musical data. See Online Resources after syllabus.
The first four weeks cover basic areas of music analysis and retrieval and introduce basic principles of using the Humdrum Toolkit. Students may be assigned individual reading assignments pertinent to their research topic areas. The remaining six weeks are spent on individual project development, with weekly reports and discussions. Extensive help is available in the lab during hours allotted to class time. Students give verbal and written reports on their research at the end of the quarter. Some projects may be appropriate for continuation in independent-study modules.
For class Zoom link |
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Please contact esfield@stanford.edu or craig@ccrma.stanford.edu |
Meeting times: | Tuesdays & Thursdays 1:30–3:00 | ||
Location: | Online | ||
Instructors: | Eleanor Selfridge-Field (esfield@stanford.edu) Craig Sapp(craig@ccrma.stanford.edu) | ||
Office Hours: | after class and by appointment on Zoom/Skype/Google Hangouts | ||
Credits: | 2–4 | ||
Grading: |
25% class participation, 75% project
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Website: | music254.stanford.edu wiki.ccarh.org/wiki/Music 254 Overview of topics presented in Music 254. |
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Prerequisites: | Completion of Music 253/CS 275b, or demonstrated ability to use notation and sound software and associated requirements. | ||
Textbook: | E. Selfridge-Field, ed., Beyond MIDI: The Handbook of Musical Codes (MIT Press, 1997). Available online by permission of the publisher. |
Contents
Syllabus
Go to week: Harmony 1 | Melody 2 | Rhythm 3 | Harmony 4 | RegEx 5 | Programming 6 | 7 | 8
See also Music 253/CS 275a Syllabus
Week 1
Week | Dates | Topics |
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1 | 4 April, 6 April 2023 |
Lectures
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Week 2
Week | Dates | Topics |
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2 | 11 Apr 2023 |
Lectures: Approaches to melodic and other musical-similarity assessment |
2 | 13 Apr 2023 |
Week 3
Week | Dates | Topics |
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2 | 18 & 20 Apr 2023 |
AI Audio Compositions, Emily Howell Lectures (Style Synthesis) |
Week 4
Week | Dates | Topics |
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4 | 25 Apr 2023 |
Lectures: Practical Realities of Research
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4 | 27 Apr 2023 |
Audio Similarity |
Week 5
Week | Dates | Topics |
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5 | 2 May 2023 |
Audio similarity
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5 | 4 May 2023 |
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Week 6
Week | Dates | Topics |
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6 | 9 May 2023 |
Compositional schemata
Counterpoint II Rhythm and Meter Programming for Humdrum files
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6 | 11 May 2023 |
Sonority distributions by bass-line scale degrees
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Week 7
Week | Dates | Topics |
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7 | 16 May 2023 |
Recent developments in MIR 07A_RecentWork_SymbolicMIR_2021.ppt 07A. Recent Work in Symbolic MIR] |
7 | 18 May 2023 |
Recent Work in Harmonic Analysis |
Week 8
Week | Dates | Topics |
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8 | 23 May 2023 |
Recent Research (and Challenges) in MIR Project development |
8 | 25 May 2023 |
Project development |
Week 9
Week | Dates | Topics |
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9a | 30 May, 1 June 2023 |
Counterpoint MEI
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Week 10
Week | Dates | Topics |
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10 | 6 June 2023 |
Project presentations in class. |
11 | 9 June 2023 |
Project write-ups for students taking a degree in June 2023. |
12 | 13 June 2023 |
Project write-ups for students continuing at Stanford. |
Online resources for this class
Data/Data entry
- Data/Data entry in Humdrum (PDF slides)
- KernScores: digital library of scores in the **kern format
- [4]: Josquin Research Project: digital library of early Renaissance polyphony
- xml2hum: MusicXML to Humdrum converter
- mid2hum: MIDI to Humdrum converter (works in many cases, but better to convert MIDI first to MusicXML then import).
Humdrum & MIDI
- Humdrum to MIDI (PDF slides)
Harmony II
- Harmony II Key analysis
Regular Expressions (Text-based searching)
Harmony-related Humdrum tools
- hint: Harmonic intervals.
- tntype: twelve-tone chord prototypes.
- key: Krumhansl-Schmuckler key-finding algorithm.
- keycor: generalization of key command.
- sonority: triadic chord descriptions of sonorities.
- prange and cint tools
Rhythm and score manipulation tools
- Rhythm Tools available in Humdrum
- timebase: create uniform duration for each Humdrum file data line.
- beat: label metric beats in Humdrum file.
- gettime: calculate performance time in seconds (according to tempo markings).
- thrux: expand repeats to performance sequence
- minrhy: identify minimum integral rhythmic unit in score
- assemble: merge parts into a single score
- partjoin: automation script to merge parts into a single score (preserves grace notes, uses minrhy and timebase)
- ditto/dittox: resolve null tokens
- hgrep: search for patterns in Humdrum file data.
Performance analysis tool
- Support tools:
- assemble: merge separate spines into single data stream.
- serialize: convert Humdrum data into single spine.
- humcat : concatenate multiple scores together (download data from web).
- ridx: remove various components of Humdrum file structure
- ditto: resolve meaning of null tokens.
- humsplit: split segmented Humdrum file streams into separate files.
- Unix tools:
- command line
- list of command-line programs
- sort: sort lines of data alphabetically or numerically.
- uniq: Remove/count successively repeated lines of text.
- Support tools:
- Pitchmix and Markov analysis of composite sonorities
Melody Lab
- Melody Tools available in Humdrum
- melody tools:
- support tools:
- unix:
- graphics (unix):
General Policies and University Rules
General policies and university rules:
- Delivery times:
- Assignments: by the start of the class for which they are due.
- Project writeup: by 11 p.m. 7 or 11 June 2022 by 11p.
- Honor code: We will act and expect you to act according to the Stanford Honor Code.
- Students with disabilities: Students who may need an academic accommodation based on the impact of a disability must initiate the request with the Student Disability Resource Center (SDRC) located within the Office of Accessible Education (OAE). SDRC staff will evaluate the request with required documentation, recommend reasonable accommodations, and prepare an Accommodation Letter for faculty dated in the current quarter in which the request is being made. Students should contact the SDRC as soon as possible since timely notice is needed to coordinate accommodations. The OAE is located at 563 Salvatierra Walk (phone 723-1066).
- Students in distress: Stanford offers an abundance of resources for students dealing with problems of a personal nature.
- Confidential support: (650) 736-6933
- Crisis hotline: (650) 725-9955
- Title IX questions: (650) 497-4955