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++), humlib, VHV. HumdrumR, 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
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 Project proposal: 2+ pages, due Thursday. 20 April 2023 Project progress report: 2+ pages, Thurs. 11 May 20223 Project presentation in class: Tues. 6 June 2023 Project writeup: 10–20 pages Graduating in June 2023: Due on 9 June 2023 11:59pm. Not graduating: Due on 13 June 2023 11:59pm.
Website:		music254.stanford.edu wiki.ccarh.org/wiki/Music 254 Overview of topics presented in Music 254.
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.

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
1	4 April, 6 April 2023	Lectures Lecture 1A. Computational Musicology Lecture 1B. Melodic Search: Fundamentals Verovio Homework for new students For new students, enter this music in Verovio Humdrum Viewer. Try saving them as HTML scores from the File menu. Also useful, see this introduction to encoding music in Humdrum.

Week 2

Week	Dates	Topics
2	11 Apr 2023	Lectures: Approaches to melodic and other musical-similarity assessment Timbral Similarity Sonic Visualiser
2	13 Apr 2023	Cope (1): Experiments in Musical Intelligence Humdrum file parsing in C++

Week 3

Week	Dates	Topics
2	18 & 20 Apr 2023	AI Audio Compositions, Emily Howell Lectures (Style Synthesis) AI-audio-based music generation Cope (2): From Emmy to Emily Howell Performance similarity in Chopin mazurkas Class programming notes

Week 4

Week	Dates	Topics
4	25 Apr 2023	Lectures: Practical Realities of Research Search Effectiveness [Tony demo] by Robert. Keyscapes
4	27 Apr 2023	Audio Similarity Audio similarity Similarity with Normalized and Unnormalized Correlation

Week 5

Week	Dates	Topics
5	2 May 2023	Audio similarity Audio similarity Harmony analysis tools
5	4 May 2023	Datasets for music research Regular Expressions Regular Expressions

Week 6

Week	Dates	Topics
6	9 May 2023	Compositional schemata Compositional schemata Quality Control in Research: Heinz Roggenkemper (guest lecture) Project report: Adaptive tuning (Shray Alag) Counterpoint II Counterpoint II Rhythm and Meter Rhythm and Meter Programming for Humdrum files Humdrum Extras — C++ library for processing Humdrum files Ratioscores: A text-based system for just intervals, Julie Zhu and Craig Sapp
6	11 May 2023	Project reports: Leon Bi and Charles Tsai (DJ transitions); Sammy Park (Guqin Digital Scores); Dominic DeMarco (Orchestral Pairings in Band Music) Sonority distributions by bass-line scale degrees Corelli & Rule-of-the-octave data selection (PDF slides) Melodic aspects of barbershop quartet music

Week 7

Week	Dates	Topics
7	16 May 2023	Wolfgang Drescher, guest lecture Katherine Wong, guest presentation
7	18 May 2023	Recent developments in MIR Compositional Schemata 07A_RecentWork_SymbolicMIR_2021.ppt 07A. Recent Work in Symbolic MIR] Recent Work in Harmonic Analysis 07B. Harmonic Models Keyscapes

Week 8

Week	Dates	Topics
8	23 May 2023	Recent Research (and Challenges) in MIR Recent Results Project development
8	25 May 2023	Music and AI: Julia Mills (guest lecture) Project development

Week 9

Week	Dates	Topics
9a	30 May, 1 June 2023	Counterpoint Generative approaches to counterpoint MEI MEI (Music Encoding Initiative) Release 2.0

Week 10

Week	Dates	Topics
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
    • [1] introduction to KernScores
    • [2] shortcuts to data in KernScores
    • [3] browse collections in KernScores
  • [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
  • Key-cycles:
    • Hummel Op. 67 preludes
    • Chopin Op. 28 preludes
    • J.S. Bach Well-Tempered Clavier
  • keycor: harmonic structure plots.
  • mkeyscape: harmonic structure plots.
    • Beethoven piano sonata keyscapes
    • Mozart piano sonata keyscapes
    • Lots of keyscapes
  • transpose: Transpose score to specific key or by interval.

Regular Expressions (Text-based searching)

• Introduction to Regular Expressions

Harmony-related Humdrum tools

• Humdrum Harmony I

• 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

• Sonic Visualiser

• • 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.
• Pitchmix and Markov analysis of composite sonorities

Melody Lab

• Humdrum Lab 2

• Melody Tools available in Humdrum
  • melody tools:
    • mint: Melodic intervals
    • scaletype Simple scale type categorizer
    • tindex: Thema indexer.
    • themax: Thema search.
    • theloc: Thema localizer.
    • context: melodic n-grams
    • prange: Pitch range tool.
  • support tools:
    • kern: remove rhythms from note data.
    • myank Yank measures from a full score.
    • extract: extract spines from Humdrum file.
    • extractx: Humdrum Extras version of extract
    • hgrep: Humdrum-aware greep.
    • autostem: automatic stemming of notes.
  • unix:
    • head: show only starting lines of text.
    • grep: search text for generalized regular expressions.
    • egrep: enhanced grep (adds additional wildcards).
    • sed: Stream editor (search and replace).
  • graphics (unix):
    • pstopnm: a converter from PostScript to bitmaps.
    • convert: Imagemagick tool for manipulating images.
    • ps2pdf: convert PostScript into PDF files.

General Policies and University Rules

General policies and university rules:

1. Delivery times:
   1. Assignments: by the start of the class for which they are due.
   2. Project writeup: by 11 p.m. 7 or 11 June 2022 by 11p.
2. Honor code: We will act and expect you to act according to the Stanford Honor Code.
3. 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).
4. Students in distress: Stanford offers an abundance of resources for students dealing with problems of a personal nature.
   1. Confidential support: (650) 736-6933
   2. Crisis hotline: (650) 725-9955
   3. Title IX questions: (650) 497-4955