Humdrum Group members: Arun Chidambaram, Joanne Emmanuel, Daniel Han and Liu Jie.

Slides:



Advertisements
Similar presentations
Software for Music Analysis An Overview Joren Six.
Advertisements

SCAPE Carl Wilson Open Planets Foundation SCAPE Training Guimarães Characterisation An introduction to the identification and characterisation of.
Symbolic Representations of Music Ichiro Fujinaga MUMT 611 McGill University.
MusicXml: Symbolic Music Interchange Format Carmine Casciato MUMT 611 Thursday, January 27th, 2005 Carmine Casciato MUMT 611 Thursday, January 27th, 2005.
Recording-based performance analysis: Feature extraction in Chopin mazurkas Craig Sapp (Royal Holloway, Univ. of London) Andrew Earis (Royal College of.
Humdrum - Introduction What is Humdrum? A set of general-purpose music software tools, but free Encode, manipulate, and output a wide variety of musically-pertinent.
MusEn: Atonal Analysis Project CARAT/Rackham Fellows Meeting 10/17/01 Erica Schattle Advisors: Mary Simoni William P. Birmingham.
8 Introduction to Humdrum Mus 253/CS 275A Stanford University Winter Quarter.
Tutorial of MusicXML An Open Format For Music Notation Present by Ming-Jing Ho.
T.Sharon 1 Internet Resources Discovery (IRD) Music IR.
Representation and Discovery of Vertical Patterns in Music Darrell Conklin.
From Feet of Clay to the Dagstuhl Core A proposal how to provide musicologists and music theorists with data they can work with Andreas Kornstädt Center.
Notation Codes and Score Analysis. Musicological Trends 1. From Comparative to Ethnographic Vergleichende Musikwissenschaft Guido Adler, “UMZ” (1885)
Content Visualization in a Digital Music Library Eric J. Isaacson Assoc. Prof. of Music Theory Indiana University School of Music This material is based.
MusicXML Music 253 / CS 275A Stanford University Winter 2005 Craig Stuart Sapp.
Polyphonic Queries A Review of Recent Research by Cory Mckay.
Introduction of Humdrum Music 253/CS 275A Stanford University.
The GUIDO Music Notation Format
MusicXML David Sears MUMT September, 2009.
JSymbolic Cedar Wingate MUMT 621 Professor Ichiro Fujinaga 22 October 2009.
Aspects of Music Information Retrieval Will Meurer School of Information University of Texas.
Gdmxml: An XML Implementation of the GENTECH Genealogical Data Model Hans Fugal.
CODES FOR DATA ARCHIVING, INTERCHANGE, AND ANALYSIS: MUSEDATA Music 253/CS 275A Stanford University.
What is musical information? Music 253/CS 275A Topic 1A Stanford University.
Test Automation For Web-Based Applications Portnov Computer School Presenter: Ellie Skobel.
Creating Music Text, Rhythm, and Pitch Combined to Compose a Song.
Voice Separation-A Local Optimisation Approach Jurgen Kilian Department of Computer Science Darmstadt University of technology Holger H.Hoos Department.
Symbolic Musical Analysis CS 275B/Music 254. Practicalities CS 275B2013 Eleanor Selfridge-Field2.
Chapter 3 Part 4. Transposition Transposition is the process of rewriting a piece of music or a scale so that it sounds higher or lower in pitch. This.
Making Music in the Middle School Using Sequencing Software in New and Innovative Ways Deborah Barber, Arkansas Tech University Jane Kuehne, Auburn University.
Base-40 Arithmetic Implications for Notation-Oriented Applications.
Using Musical Information: Query, Analysis, and Style Simulation Mus 254/CS 275B/SSP 253b Stanford University Spring Quarter.
Trope Trainer By: Jenna Daniels. What is Trope Trainer?  This is the ultimate tool for learning cantillation.  Trope- is the ritual chanting of readings.
Input Methods for Music Notation Software Mus 253/CS 275A Stanford University Notation 1.
Content-Based MP3 Information Retrieval Chueh-Chih Liu Department of Accounting Information Systems Chihlee Institute of Technology 2005/06/16.
Art Presentation Slides Concise History of Western Music FOURTH EDITION by BARBARA RUSSANO HANNING.
1 Problem Solving using Computers “Data....Representation, and Storage.
Transcription Software Amazing Slow Downer & Transcribe! Rick Lollar Amazing Slow Downer & Transcribe! Rick Lollar.
1 / 22 jSymbolic Jordan Smith – MUMT 611 – 6 March 2008.
Symbolic Musical Analysis CS 275B/Music 254. Practicalities CS 275B2016 Eleanor Selfridge-Field2.
Universal Acceptance: APNIC system readiness Byron Ellacott Senior Software Architect.
Introduction to MPEG  Moving Pictures Experts Group,  Geneva based working group under the ISO/IEC standards.  In charge of developing standards for.
Stochastic Text Models for Music Categorization Carlos Pérez-Sancho, José M. Iñesta, David Rizo Pattern Recognition and Artificial Intelligence group Department.
Musical Similarity: More perspectives and compound techniques
“<Fill in your definition here.>”
INTERNATIONALIZATION
Revision Units Exam date 16th May 2017 Summer 1.
Rosetta Stone of Musical Data
European Robotic LABoratory
Melodic Review 8th Grade.
Music Representations
CSC 320 – Music Instrument Digital Interface (MIDI) and Digital Audio, Spring 2017 April 2017 Dr. Dale Parson.
HARMONICS AND FILTERS.
Codes for data archiving, interchange, and analysis
Symbolic Representations of Music
Don Le Kunal Walia CSE 403 Group J
Aspects of Music Information Retrieval
Symbolic Representations of Music
Introduction to Computer Science for Majors II
MuseData Ching-Hua Chuan Brian Harlan Amit Singh Kevin Zhu
Introduction to Humdrum
Visual recall of class information
Analytical uses of Humdrum Tools
Symbolic Musical Analysis
MusicXml: Symbolic Music Interchange Format
Pitch Spelling Algorithms
Sequence to Sequence Music Generation
Chord Recognition with Application in Melodic Similarity
SkuGal Technologies Private Limited launched a software For School management Software In this application there are many more features to help to schools,
Presentation transcript:

Humdrum Group members: Arun Chidambaram, Joanne Emmanuel, Daniel Han and Liu Jie

Overview What is Humdrum? Set of general-purpose software tools 1) Humdrum syntax 2) Humdrum toolkit What can it do? Encode information Search

Kern syntax Used to represent basic information in Western Music It is simply ascii text

Selected features Harmonic interval identification –Explicit, passing, stacked harmonic intervals

Selected features Pitch transposition Pitch representation ISO Tonh ö he French Solf è ge Midi processing