Re: [orca-list] some tool to convert text to speech audio files
- From: Hammer Attila <hammera pickup hu>
- To: orca-list gnome org
- Subject: Re: [orca-list] some tool to convert text to speech audio files
- Date: Sat, 18 Dec 2010 16:59:01 +0100
Hy Helios,
Yes, I have got an audio book converter application, but now only the
stable version supporting hungarian language and now not possible
choosing another Espeak language voice.
My application is not a GTK application, using Zenity dialogs, not a big
application, but perhaps very good your purpose with future.
First I begin developing this application with Bash and Zenity, but
recoded with Python when hungarian users requested pronunciation
dictionary feature.
My application are converting external frontends with following files:
doc (antiword)
PDF (pdftotext)
HTML (builtin Espeak -m conversion)
ODT (odt2txt)
Plain text ofcourse supported.
My application are supporting basic pronunciation dictionary with an
easy editable format, and supports with you want (Nautilus context menu
if the caret are placed with a supported file format).
The application are possible converting one mp3 file with standard
pipeline, but supporting splitting conversion if you choosing this
option and gived a time period. If you choosing splitting, need enough
free space with your disk, because Espeak need storing the temporary
splitted wave files before converting the splitted mp3 files.
Need I doing following tasks if more people want internationalizing this
application:
1. Need doing localization support with the application (the application
UI interface localization possibility is done, only the .deb package
installation need doing right the future).
2. Need coding different Espeak language voice choosing support (this is
not done yet, because now I not have got enough time).
If anybody interesting the developing version source, I welcome send
anybody the source code, because my application of course is free
software. But I am happier if anybody known a better already done
application with better supporting with your syster purpose task.
Attila
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