Re: accessibility question

Sven Neumann wrote:

I found the link I gave you is pretty much outdated. Try these

thank you for these links. Unfortunately, they confirmed my fears which is that is really focused on blind accessibility first, extreme handicapped user second (i.e. quadriplegics) and speech recognition dependent users are an afterthought. And it's (understandably) only Linux focused.

for example, in the slides they talk about integrating with Sphinx 4 (a research class recognizer) for command and control. If they had talked to any significantly disabled person especially those with RSI, they would find out that command and control is the last thing on their minds. It's important especially for those of us who are hurting but full English (or wherever language) dictation is far more important because then you can communicate with other people through tools like instant messenger or e-mail. It's the foundation from which handicapped users can work and make money on which to live. Command and control will not cut it as a stand-alone accessibility aid.

my hypothesis is that properly done, a blind accessibility and speech recognition accessibility interface would have about a 90 percent overlap. We both need the same type of information, it's just how we use it that changes.

my initial query was motivated first by trying to find out if it's possible to connect NaturallySpeaking to GTK and make NaturallySpeaking features like select and say available to all applications using GTK. The second was to help define a project better for OSSRI.

The project I am advocating is moving NaturallySpeaking to Linux via wine and then bridging NaturallySpeaking to local accessibility tools. By advocate this because it will provide us with the level of functionality we need relatively quickly while open source speech recognition products eventually get to the level of NaturallySpeaking.

OSSRI(Open Source Speech Recognition Initiative) is a recently formed nonprofit (nonprofit status pending) to provide a framework for shepherding speech recognition projects down the path that serves speech recognition dependent handicap users.


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