auto-correct a speech-to-text output and relate to of the words based on syllables
On Fri, 02 Feb 2018 08:14:03 +0100, dieter wrote:
>> The user speaks "Light". The system translates it as "Bright" The user
>> speaks "White" The system translates it as "Bright"
> As those words are phonetically quite apart (they have very different
> first consonants), some step in your processing chain does something
> seriously wrong.
I disagree: Light, Bright and White sound very similar. They're identical
except for the first consonant:
and even those consonants sound very similar. Human beings can easily
mishear or fail to distinguish between those words, e.g.:
(the name of the song is *Whiter* Shade of Pale, not "Lighter" or
"Brighter"). We should not assume that the first consonant is always
Of course we would hope that a speech-to-text system would correctly
match Light/Bright/White/Fright/etc but given the vagaries of human
accents and pronunciation, we shouldn't be surprised if it sometimes gets