•Assume a language model P(words)
•If we had P(signal|words), we could compute the words that maximize P(words|signal). How?
•If the signal gave us a list of phones, we could do this, but we can't.
•The best we can do at this point is to compute P(words|phones).
Then we need P(phones|signal).
•For this, a hidden
Markov model (HMM) is used.
