Free text to speech software for linux

OO Text To Speech is a text-to speech macro for OpenOffice.org.

Its a syllable analyzer: using a reading motor, it reads a document and translates it into a vocal message.

About OpenOffice

OpenOffice.org is a multiplatform and multilingual office suite and an open-source project. Compatible with all other major office suites, the product is free to download, use, and distribute.

It is an international office suite that will run on all major platforms and provide access to all functionality and data through open-component based APIs and an XML- based file format.

GNOME Speechs purpose is to provide a simple general API for producing text-to-speech output.
The GNOME Speech 1.0 API is currently under development, and it will provide API for both text-to-speech output as well as speech input. It will be heavily influenced by the Java Speech API, both the existing 1.0 specification, and the new 2.0 one which is currently under development.
GNOME Speech 0.4 is made up of three basic parts:
- IDL interface definitions
- libgnomespeech - Convenience library for speech driver development
- Java package to aid in developing GNOME Speech drivers in Java
- Sample driver implementations

Edit by Text Editors allows you to open a file with Kate, Kwrite, Kedit, Khexedit by a KDE service menu.

To install the service menu you must copy editby.desktop in ~/.kde/share/apps/konqueror/servicemenus

Text::Yats is Yet Another Template System.

SYNOPSIS

use Text::Yats;

my $template = < < ENDHTML;
< html >
< head >
< title >$title - $version< /title >
< /head >
< body >
< form >
< select name="names" >< !--{1}-- >
< option $selected >$list< /option >
< !--{2}-- >< /select >
< /form >
< /body >
< /html >
ENDHTML

my $result = "";
my $tpl = Text::Yats- >new(
level = > 1,
text = > $template);

$result .= $tpl- >section- >[0]- >replace(
title = > "Yats",
version = > "Development", );

$result .= $tpl- >section- >[1]- >replace(
list = > [hdias,anita,cubitos],
selected = > { value = > "selected",
array = > "list",
match = > "anita", } );

$result .= $tpl- >section- >[2]- >text;
print $result;

Text Text Revolution project is a text-based ncurses DDR clone.
Text Text Revolution is a text-based Dance Dance Revolution clone.
It supports pyDDRs .step file format (which has now been superceeded by the .dance format), and plans to stream OGG, MP3, or WAV files.
Enhancements:
- Joystick (DDR mat) support is working now. use the -j switch. Its currently hardcoded to use /dev/input/js0.
- Some graphics code was cleaned up, and it is now possible to specify the difficulty (--light, --standard, --hard, or -ln, where n is 1, 2, or 3).

Text::Scrub is a Perl module used to wild card out text used for comparison.

SYNOPSIS

#########
# Subroutine Interface
#
use Text::Scrub qw(scrub_date scrub_date_ticket scrub_date_version scrub_file_line
scrub_probe scrub_test_file);

$scrubbed_text = scrub_architect($script_text)
$scrubbed_text = scrub_file_line($script_text)
$scrubbed_text = scrub_date($script_text)
$scrubbed_text = scrub_date_ticket($script_text)
$scrubbed_text = scrub_date_version($script_text)
$scrubbed_text = scrub_probe($script_text)
$scrubbed_text = scrub_test_file($script_text)

#########
# Class Interface
#
use Text::Scrub

$scrubbed_text = Text::Scrub->scrub_architect($script_text)
$scrubbed_text = Text::Scrub->scrub_file_line($script_text)
$scrubbed_text = Text::Scrub->scrub_date($script_text)
$scrubbed_text = Text::Scrub->scrub_date_ticket($script_text)
$scrubbed_text = Text::Scrub->scrub_date_version($script_text)
$scrubbed_text = Text::Scrub->scrub_probe($script_text)
$scrubbed_text = Text::Scrub->scrub_test_file($script_text)

The methods in the Test::STD:Scrub package are designed to support the Test::STDmaker and the ExtUtils::SVDmaker package. This is the focus and no other focus. Since Test::STD::Scrub is a separate package, the methods may be used elsewhere. They are used to wild card out parts of two documents before they are compared by making these snippets the same. In all likehood, any revisions will maintain backwards compatibility with previous revisions. However, support and the performance of the Test::STDmaker and ExtUtils::SVDmaker packages has priority over backwards compatibility.

Text::Convert::ToImage is a Perl module.

SYNOPSIS

use Text::Convert::ToImage;
my $tti = Text::Convert::ToImage->new();
my $length = length($email);
if ($length > 150) {
$email = "Your text length of $length is too large:";
}
my $config = {
TEXT => $email ? $email : "y@hn.org",
POINTSIZE => $point_size ? $point_size : 14,
LEVEL => $level ? $level : 0,
FONT => $font,
XSKEW => $xskew,
YSKEW => $yskew,

};
$tti->calculate($config);
print "Content-type: image/pngnn";
binmode STDOUT;
$tti->Write(png:-);

This was knocked up a long time ago and someone asked me if the source was available so I decided to put it on CPAN. There is very little documentation with it.

There are also very few tests. If more than me and the person who asked for the module use it then I will write some tests for it.

At the moment I have been using it top obfuscate emails and not much else. A demo can be found at http://www.hjackson.org/cgi-bin/tools/email.pl

There are some undocumented features to this module and they are this way because I have not tested to see if they work yet.

Text::NSP::Measures::2D is a Perl module that provides basic framework for building measure of association for bigrams.

SYNOPSIS

Basic Usage
use Text::NSP::Measures::2D::MI::ll;

my $npp = 60; my $n1p = 20; my $np1 = 20; my $n11 = 10;

$ll_value = calculateStatistic( n11=>$n11,
n1p=>$n1p,
np1=>$np1,
npp=>$npp);

if( ($errorCode = getErrorCode()))
{
print STDERR $errorCode." - ".getErrorMessage()."n"";
}
else
{
print getStatisticName."value for bigram is ".$ll_value."n"";
}

This module is to be used as a foundation for building 2-dimensional measures of association. The methods in this module retrieve observed bigram frequency counts, marginal totals, and also compute expected values. They also provide error checks for these counts.