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GNU Solfege 3.12.1 (Stable branch)

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Special Forums News, Links, Events and Announcements Software Releases - RSS News GNU Solfege 3.12.1 (Stable branch)
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Old 01-25-2009
GNU Solfege 3.12.1 (Stable branch)
Solfege is an ear training program that can be used to train your rhythm, interval, scale, and chord skills. License: GNU General Public License v3 Changes:
This release adds support for CSound and MMA. Length modifiers are allowed in chords and apostrophes in lesson names. The user can select which Web browser to use to display the user manual. On Win32, learning trees are stored in a folder below "My documents" now. A GUI to delete learning trees was added. A few new solfa exercises were added. Image

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LEARN ABOUT DEBIAN

fst-train

fst-train(1)							     fst-train							      fst-train(1)

NAME

       fst-train - learning transducer weights

SYNOPSIS

       fst-train [ options ] file [ input-file ]

OPTIONS

       -t file
	      use multiple transducers in the same way as fst-infl2.

       -b     This option is used for supervised training with disambiguated data.

       -d     Disambiguate the analyses symbolically as described in the man pages of fst-infl2.

       -q     quiet mode

DESCRIPTION

       fst-train  is  used  to	learn  statistical weights for the transducers transitions based on training data. Training is either unsupervised
       (default) or supervised (option -b).
       In supervised mode, the input contains fully disambiguated data with the surface and the analysis form. The format restrictions are identi-
       cal to those applying for lexicon entries, i.e. all operators other than the colon operator (:) are interpreted literally.
       In unsupervised mode, the input data consists of surface strings. The format is identical to the input format of fst-infl and fst-infl2.
       The transducer weights are stored in files whose names are obtained by appending .prob to the names of the transducer files.

BUGS

       No bugs are known so far.

SEE ALSO

       fst-infl2, fst-compiler

AUTHOR

       Helmut  Schmid,	Institute  for	Computational  Linguistics,  University of Stuttgart, Email: schmid@ims.uni-stuttgart.de, This software is
       available under the GNU Public License.

								   October 2005 						      fst-train(1)