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The application of speech recognition for Sugar is to enable
learners to pronounce words or sentences in English (or other second
language) and have the speech recognition affirm by recognition that
the sounds are sufficiently accurate. Currently this is often done
by having the learner compare sound patterns (oscilloscope style). <br>
<br>
As a simple example, suppose the student is presented an arithmetic
problem (e.g. by KA Lite). Give the student the ability to say the
result instead of having to enter it from a keyboard.<br>
<br>
Tony<br>
<br>
<div class="moz-cite-prefix">On 04/28/2016 01:56 AM, Justin Overton
wrote:<br>
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<div>The application I am working on, and targeting across
multiple platforms is HTML5 + JavaScript for ease of
portability. Right now I have a very naive Speech Recognition
system in place, but I plan to use CMU's PocketSphinx
(particularly the Pocketsphinx.js port).<br>
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<div>Has anyone else used any speech recognition in Sugar (or
web)? Would anyone be interested in working with me on
creating a speech recognition library that can be used
throughout Sugar (native and web-based)?<br>
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