Markov notes: requirements, protocol and biblio
Tue 26 August 2014
I want to focus on notes changes. this is what I want to analyze some music sheet to count changes.
State of the art
The first article I found is [paiement2007][1. Paiement, J. F., Grandvalet, Y., Bengio, S., & Eck, D. (2007). A generative model for rhythms. NIPS’2007 Music, Brain.]. In this paper, the authors only focus on rhythms. They try to predict the next subsequence given the previous one. The criteria used to evaluate there model is the distance between the predicted subsequence and the actual one, and is done on 2 type of music (jazz and hornpipe).
The model is done by dividing each bars into equal timeslot. for each timeslot, there are 3 possible states:
- note begins
- note continue
The considered approach
Let's consider a state machine. The states are notes. The note is characterized by:
- the frequency (noted by its name, could be a rest)
- the duration
We can use lilypond notation (e.g. c'4)Let's count the number of changes from one state to another. let's also consider the following changes:
- changes from one note to another whatever duration
- changes from one duration to another whatever frequency
since I begun the redaction of this post, I discover one of the most advance porject on this theme[2. Emily Howell's work].