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auto-correct a speech-to-text output and relate to of the words based on syllables


"Peter J. Holzer" <hjp-python at hjp.at> writes:
> On 2018-02-03 09:34:57 +0100, dieter wrote:
> ...
> The difficulty is to *recognise* it correctly. Was that tangle of sound
> waves an "l" or an "r"? This not as unambiguous as you seem to think.
> So a speech-to-text program may hear "right" when the speaker was really
> saying "light". If you have only the output from that program you must
> determine whether "right" is correct or must be corrected to "light".

The primary recommendation from my first response has been:
determine the step in the process chain that made the error.
If already the first step ("speech-to-text") has wrongly interpreted
"light" as "right", then obviously context is necessary to determine
that this was wrong.