Hi,
I have to make an application in which,
- The user asks a question, Google's API is used to convert the speech
to text. But the problem is due to different accent the translator
misunderstands the words.
- I want my application to guess the word to the nearest word spoken by
the user.
- When the user speaks a word, the syllables in the word should be
matched with the syllables of other words in my dictionary.
Till now what I have done,
- I used CMU pronouncing dictionary. It contains ~122300 words along
with its syllables.
- Along with this, I have created my own dictionary which consists of
words that I need only.
- I have implemented a python logic that makes reasonable guesses for
the words user speaks and matches with my dictionary.
- But sometimes for more than a word it makes the same guess.
- example:
- The user speaks "Light". The system translates it as "Bright"
- The user speaks "White" The system translates it as "Bright"
I don't want this to happen. This system should make a reasonable
conversion.
Any help would be appreciated.
Regards,
Naveen BM
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