This is the 2009-2010 code for collecting data for the
Kochanski, Loukina, Keane, Shih, and Rosner experiments
called "Project Aesop".    A description of the project
is available at http://kochanski.org/gpk/papers/2008/aesopus2 .

If you use this code in an academic paper, please cite
use as follows:

"The data collection software {was, was based on, ...}
a program used by [Loukina et al 2009]"

and reference:

"Rhythm measures with language-independent segmentation",
Anastassia Loukina, Greg Kochanski, Chilin Shih, Elinor Keane and Ian Watson
Proceedings of the 10th Annual Conference of the International
Speech Communication Association (Interspeech 2009). ISSN 1990-9772
Brighton, UK, 7--10 September 2009, pp 1531--1534.
The software may be downloaded from
http://www.phon.ox.ac.uk/files/releases/2008aesopus2_data_collect.tar .
(URL checked ZZZ/ZZZ/ZZZ.)

This software is copyright Greg Kochanski (2010) and is
available under the Lesser Gnu Public License, version 3 or higher.
It was funded by the UK's Economic and Social Research
Council under project RES-062-23-1323.  This is available from
http://sourceforge.org/projects/speechresearch,
http://kochanski.org/gpk/papers/2010/aesop_data_collect, and
http://www.phon.ox.ac.uk/files/releases/2008aesopus2_data_collect.tar

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Why would you want this software:
* You want to collect speech data from people who are reading text
	from a screen.
* The texts will fit on 2/3 of a page, and they aren't really tiny.
* You want something that carefully logs all the important metadata.
* You want timing information so you know how long it took to for the
	people to start reading.
* You have a Linux system.
* You want to customize the data collection.
* You looking for free software.

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Requirements:

Python 2.5 or higher (but probably not python 3.0 without modifications).
Pygtk libraries
gmisclib from the Speechresearch project on http://sourceforge.org version
0.69.0 (These are python modules.)