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I'm not talking about the input, but the output: "…predicted word sequence where the word with highest prob- ability is taken ignoring repetitions and the blan
by gok 11y ago
I'm not talking about the input, but the output:
"…predicted word sequence where the word with highest prob- ability is taken ignoring repetitions and the blank label with no language model or decoding."
Which I took to mean: when the acoustic model emits a blank symbol, they don't run the decoder again until a non-blank symbol comes out.
- afsina 11y agoI think that is just a technology showcase that this technique is so good that for some small-mid size pronunciation dictionary, it can work quite well without using a language model. Similar works were reported recently (ASR systems without language models or with character models). But seems like real system is still using a graph generated with a language model and context dependent phones.