This page contains data intended to accompany a paper entitled ``Statistical
Learning of Harmonic Movement'', published in the
**Journal of New Music Research** (full publication details forthcoming).

The files linked below contain information defining Finite State Transition Networks expressing information learned by computer about harmonic progression in 17th Century Sarabande forms.

The data from which these grammars were learned is divided into 9 sections, each of which has its own grammar in the table below. For more details, see the paper. The data for each grammar is expressed as a probabilistic Finite State Transition Network which can be loaded directly into the Prolog programming language. The format is as follows:

**arc( Start, End, Symbol, Probability ).**

where **Start** is the start state of the arc (represented as a tripartite
object, the details of which are explained in the paper), **End** is the end
state of the arc (represented in the same way), **Symbol** is the symbol
which is read or generated by the arc when the FSTN is used, and
**Probability** is the probability of this symbol appearing in this context
in the input data - it can be used for stochastic generation of music.
**Symbol** represents chords in conventional I, IV, i, iv, *etc*)
notation, except where a natural represetation is not possible in this form.
Where this is the case, see the paper for details of the representation.

Please note that this information is meant to be used in conjunction with the paper referred to above.

Data Set |
File Size (bytes) |
GZip Archive Size (bytes) |

All composers, both modes | 1971641 | 182787 |

All composers, major mode | 717133 | 71806 |

All composers, minor mode | 1107774 | 100384 |

Chambonières, major mode | 261234 | 27484 |

Chambonières, minor mode | 251648 | 21695 |

Louis Couperin, major mode | 164183 | 16635 |

Louis Couperin, minor mode | 360502 | 31906 |

Other composers, major mode | 439517 | 42698 |

Other composers, minor mode | 662515 | 58722 |

This information may be freely downloaded and used for research and other non-commercial purposes. It is a condition of download that, if resulting work is published in any form or fashion, an acknowledgement of the source should be made.

(c) 1999, D. Ponsford, G. Wiggins, C. Mellish, M. Walker