I am not the person to code it. But could we, when we have sufficient
computational resources, correct errors using a Bayesian estimation of
the speech information likely to follow a particular speech string?
Although the fundamental frequency in speech is very speaker-specific,
the relative change in frequency and harmonic content might be less so.
Having learned some corpus of this, we might be able to successfully
predict the value of a lost frame given a number of previous frames. Or
maybe we could learn a speaker in real-time and predict subsequent frames.
Thanks
Bruce
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