Links for Students Doing Research with Judy Franklin
Computer Science Department, Smith College

December 2006, the dawn of a new age

• Pd/GEM - audio and visual media
  • Visual Media with PD/Gem
    Ekran.org, pd workshop page
  • pmpd - Physical Modelling for pd

Summer 2006

• chord info
• Pd/GEM, Python
  • a wearable prototype for exploring user experience and musical interaction
  • MIDIsense board home
  • Processing is an open source programming language and environment for people who want to program images, animation, and sound.
  • Sensors-to-MIDI with the MIDIsense Board
  • Create USB sensor board from UCSB
  • M-Audio Midisport USB Uno - sound card
  • OSC Open Sound Client wireless network patch for Pd
  • Pure Data Info
  • Pure Data versions downloads
  • Linux Multimedia with Pd and Gem
  • Theory and Techniques of Electronic Music, by Miller Puckette
  • Tutorial on PD
  • Pd Documentation
  • Tutorial on PD
  • Pd Documentation
  • Pd and Gem instructions for Mac in lab
  • Numeric.py
  • Numeric.py and LinearAlgebra.py
  • Python and Sound
• HMM/GMM
  • January 2006
    • A Tutorial on Dynamic Programming
    • E. Charniak, 1991. "Bayesian Networks without Tears", AI magazine.
    • Another Bayes Nets tutorial with a bit more on finding approximate solutions
  • Intro to Hidden Markov Models (HMMs) and algorithms
  • Philip Jackson's HMM tutorials
  • L. R. Rabiner, 1989. "A Tutorial in Hidden Markov Models and Selected Applications in Speech Recognition", Proc. of the IEEE, 77(2):257--286.
  • A Brief Introduction to Graphical Models and Bayesian Networks
  • Ghahramani, Z. (1998)
    Learning Dynamic Bayesian Networks
    In C.L. Giles and M. Gori (eds.), Adaptive Processing of Sequences and Data Structures . Lecture Notes in Artificial Intelligence, 168-197. Berlin: Springer-Verlag.
  • The Expectation maximization algorithm
  • The Expectation Maximization Algorithm: A Short Tutorial
  • C++ implementation of HMM
  • Tutorial on Implementing HMM

Clustering and Scales and EM

• An Introduction to Clustering Algorithms
• Scale Finder
• Deriving the Musical Scale
• Scaleopia
• Scales/Modes
• The Expectation maximization algorithm
• The Expectation Maximization Algorithm: A Short Tutorial

Bayes Nets and Music

1. Statistical Data Mining Tutorials - by Andrew Moore
2. MDP and POMDP tutorials - good, even though it's really called POMDP for Dummies
3. Intro to Hidden Markov Models (HMMs) and algorithms
4. Using POMDPs for music retrieval including prosidy, audio input
5. Pattern Recognition Applied to Music Signals
6. Singing Detection using Gauusian Mixture Models
7. Music Scene Description Project: Toward Audio-Based Real-time Music Understanding
8. Using HMM for Segmentation of Music Signals
9. A Probabilistic Approach to Querying on Music and Text
10. Sound Morphing with Gaussian Mixture Models
11. A Study of Musical Instrument Classification Using Gaussian Mixture Models and Support Vector Machines
12. Realtime Online Adaptive Gesture Recognition
13. Learning Harmonic Progression Using Markov Models
14. MIDI Estimation of Tempo Variations in Performed MIDI Data Signals
15. A Large-Scale Evaluation of Acoustic and Subjective Music Similarity Measures
16. A Learning-Based Quantization: Unsupervised Estimation of the Model Parameters
17. A Multi-Layer Conceptual Framework for Expressive Gesture Applications
18. Locating Segments with Drums in Music Signals
19. Beat-ID: Identifying Music via Beat Analysis

Genetic Programming Links

1. Genetic Programming Tutorial
2. Another GP Tutorial with step-wise instructions
3. General Info about Genetic Programming

Reinforcement Learning Links

• On-line version of Reinforcement Learning: An Introduction
• A Tutorial on Dynamic Programming
• Rich Sutton's tutorial on RL
• Kerr et al. of Gettysburg College. Paper on implementing RL in Java
• Kerr et al. Java code
• A Brief Introduction to Graphical Models and Bayesian Networks
• Reinforcement Learning for Problems with Hidden State
• Sequential Decision Making Based on Direct Search
• Reinforcement Learning for Factored Markov Decision Processes Ph.D. thesis of Brian Sallans
• Creating Melodies with Evolving Recurrent Neural Networks
• C++ implementation of HMM
• Tutorial on Implementing HMM

Neural Networks and Music

1. Interpreting Rhythmic Structures Using Artificial Neural Networks
2. Active Learning with Statistical Models

Neural Network Links

1. Pictoral Introduction to Neural Networks
2. A Thorough Report on Neural Networks
3. Another Good Introduction, with some pseudo-code
4. A Guide to Recurrent Neural Networks and Back-Propagation
5. Jurgen Schmihuber's page on recurrent neural networks, with focus on Long Short-Term Memory (LSTM) recurrent nets
6. Elman nets
7. Jeff Elman home page
8. Elman's original paper
9. Hybrid Elman/HMM networks

Rhythm

1. A real-time audio/video system for interactive conducting
2. Analyzing timings in Max
3. Rhythmic Expressiveness Transformations of Audio Recordings: wing Modifications
4. Temporal codes, timing nets, and music perception
5. Monte Carlo Methods for Tempo Tracking and Rhythm Quantization
6. Automated Rhythm Transcription
7. Automatic Rhythm Transcription from Multiphonic MIDI Signals
8. Monte Carlo Methods for Tempo Tracking and Rhythm Quantization
9. Structure and Interpretation in Rhythm and Timing

Improvisation

1. Bob Keller's Jazz Page
2. Jazz MIDI Page
3. Bass Transcriptions
4. Free Sheet Music Downloads
5. Real-Time Recognition of Improvisations witgh Adaptive Oscillaots and a Recursive Bayesian Classifier
6. Composing with Sequences
7. SynthZone, Drum/Rhythm Track Production Resources
8. DrumKat - hardware Drum to MIDI
9. Electronic Drum Sets

Arts

1. Cati Dance: self-edited, self-synchronized music video

MIDI Files for Examples (4/4 time)

1. Summertime (4/4)
   1. Summtime.mid
   2. summertime2.mid
   3. summertimejazz.mid
   4. smtime.mid
2. BlueBossa (4/4)
   1. Bluebosa.mid
   2. BlueBossa.mid
   3. BlueBossa.MID
3. Song for My Father (4/4)
   1. SongForMyFather.mid
   2. songfor.mid
   3. songForMyFather.mid
4. Cantaloupe Island (4/4)
   1. CantaloupeIslands.MID
5. Watermelon Man (4/4)
   1. WatermelonMan.MID
6. Girl from Ipanema (4/4)
   1. ipanema1.mid
   2. ipanema2.mid
   3. ipanema3.mid
   4. ipanema4.mid
7. This Masquerade (4/4)
   1. masquerade1.mid
   2. masquerade2.mid
   3. masquerade3.mid
   4. masquerade4.mid
   5. masquerade5.mid
   6. masquerade6.mid
8. A Night in Tunisia (4/4)
   1. tunisia1.mid
   2. tunisia2.mid
   3. tunisia3.mid
   4. tunisia4.mid
   5. tunisia5.mid
9. Well You Needn't (4/4)
   1. WellYou1.mid
   2. WellYou2.mid
   3. WellYou3.mid
   4. WellYou4.mid
   5. WellYou5.mid
10. Anthropology (4/4)
    1. anthro1.mid
    2. anthro2.mid
    3. amthro3.mid
    4. anthro4.mid
11. Take the A Train (4/4) - has notes longer than 1 measure
    1. atrain1.mid
    2. atrain2.mid
    3. atrain3.mid
    4. atrain4.mid
12. Street Life (4/4) - has rubato intro
    1. Streetlife1.mid"
    2. Streetlife2.mid
    3. Streetlife3.mid
    4. Streetlife4.mid
    5. Streetlife5.mid
    6. Streetfile5.mid - plain intro, no rubato
13. So What (4/4) - has notes longer than 1 measure
    1. SoWhat1.mid
    2. SoWhat2.mid
    3. SoWhat3.mid

MIDI Files for Examples (3/4 time)

1. Afro Blue Midi files (3/4 time)
   1. AfroBlue1
   2. AfroBlue2
   3. AfroBlue3.mid
   4. AfroBlue4.mid
   5. AfroBlue5.mid
   6. AfroBlue5.mid
2. Bluesette 3/4, swing
3. Footprints 3/4, blues, modal
4. My Favorite Things 3/4, modal, standard
5. Up Jumped Spring 3/4, swing
6. Jaca Pastorius Jazz Waltz (3/4 time)

Other MIDI sources

1. Arcing graphics derived from MIDI files

Matlab Links

1. Hints on Graphing in Matlab
2. A Practical Introduction to Matlab (more advanced)
3. Matlab on-line reference manual from Univ of TX
4. Introduction to Matlab Neural Networks Toolbox 3.0
5. Netlab Neural Networks Toolbox from Aston Univ, U.K.