Template:TTS: Difference between revisions
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Earlier, <code>aria-label</code> was mistakenly used for this, but it turns out that text substitution for speaking-machines is something that is generally not well-supported in HTML. (This can be a problem when it comes to the temptation to turn everything into "AI" — understanding that every piece of text written by humans is made of arbitrary signifiers, it is incredibly tempting to simply build a [https://en.wikipedia.org/wiki/Speech_synthesis#Deep_learning-based_synthesis dynamic signifier-interpreting agent that actively learns all the exceptions to every rule] instead of properly building a system where "dumb" programs or bits of data can easily pass along less-ambiguous messages to each other.) | Earlier, <code>aria-label</code> was mistakenly used for this, but it turns out that text substitution for speaking-machines is something that is generally not well-supported in HTML. (This can be a problem when it comes to the temptation to turn everything into "AI" — understanding that every piece of text written by humans is made of arbitrary signifiers, it is incredibly tempting to simply build a [https://en.wikipedia.org/wiki/Speech_synthesis#Deep_learning-based_synthesis dynamic signifier-interpreting agent that actively learns all the exceptions to every rule] instead of properly building a system where "dumb" programs or bits of data can easily pass along less-ambiguous messages to each other.) | ||
[[Category:Templates for | [[Category:Templates for markup]] [[Category:Templates related to localization]] |
Revision as of 21:58, 22 July 2025
Demo
(pronounced displayed string, plus this text only displayed to TTS)
Description
This is a template for giving bits of text a TTS pronunciation.
Earlier, aria-label
was mistakenly used for this, but it turns out that text substitution for speaking-machines is something that is generally not well-supported in HTML. (This can be a problem when it comes to the temptation to turn everything into "AI" — understanding that every piece of text written by humans is made of arbitrary signifiers, it is incredibly tempting to simply build a dynamic signifier-interpreting agent that actively learns all the exceptions to every rule instead of properly building a system where "dumb" programs or bits of data can easily pass along less-ambiguous messages to each other.)