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Re:Show HN: Jarvis, a Light Table like companion for Python by gcr on Friday June 29, 2012 @11:53AM (#4177233)
What does your "transcription" step mean? Either it would transscribe each word "in divy two Ellie, buy it's Elf", which produces garbage without context, or it would additionally have to use the language model to patch things up.

For example, the difference between "its" and "it's", "red" and "read", "know" and "no" is irreconciliable without understanding the rest of the sentence these trouble words appear in.

Re:Show HN: Jarvis, a Light Table like companion for Python by koide on Saturday June 30, 2012 @03:42AM (#4181037)
Transcription is the textual output of the speech recognition process, be it phonetic, LVCSR or direct. All current applications of them do take some context in consideration, usually via a transition matrix and lots of training data.

What I'm proposing is to pass the output of speech recognition through a binary classifier that answers the question "is this text gibberish?", which is trained with the help of a textual language model, unrelated to the speech recognition pass.