#voicedreamreader — Public Fediverse posts
Live and recent posts from across the Fediverse tagged #voicedreamreader, aggregated by home.social.
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For all those Voice dream reader users out there, I have a question. I'm trying to reinstate my 16 gb library after signing out anback into I cloud, but trying to do this in library settings simply gives me a progress bar stuck at 0% and an error telling me that it could not complete operations because other operations were running. Does anyone have any ideas? Contacted vdr support and haven't heard anything. #voicedreamreader #voicedream #IOS #VoiceOver #Accessibility
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TyfloPrzegląd Odcinek nr 314
https://tyflopodcast.net/tyfloprzeglad-odcinek-nr-314/ -
TyfloPrzegląd Odcinek nr 314
https://tyflopodcast.net/tyfloprzeglad-odcinek-nr-314/ -
TyfloPrzegląd Odcinek nr 314
https://tyflopodcast.net/tyfloprzeglad-odcinek-nr-314/ -
(Edit: this post is not accurate, as Voice Dream is actually owned by the app acquisition company Applause (https://applause.dev), and not Applause App Quality, Inc. (https://applause.com). The latter company offers accessibility testing services, the former does not.)
The current owner of #VoiceDreamReader is the Applause group, who offer #accessibility auditing and testing services to many high-profile clients. When Applause are paid to evaluate the accessibility of a product, they are expected to point out some of the exact issues that have been raised in relation to their work on #VoiceDream, such as controls that have no labels or accessible role information, images without alt text, etc.
This hints at a wider problem in the industry, where companies are "cashing in" on the market for accessibility-related services without actually being that invested or incentivised to do good work. Do Applause work with #disabled testers? Was anybody there tasked with testing the application with a #screenReader and other #assistiveTechnology? If not, it raises questions about whether their accessibility services are a force for good, or are actually causing harm.
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In #VoiceDream Reader, does anyone know if it's possible to use Backreferences for group captures in a regular-expression-based pronunciation dictionary replacement? I've tried `\1`, `$1`, and `\k<1>`, but the syntax is always passed directly through to the synthesiser without the text captured by the group. #VoiceDreamReader #accessibility
