Hi,--I have a CTC trained model and also TLG.fst for the decoding. But, since I have <eps> in my tokens I a map from my token to the model's output. I was wondering if there is any way to map the tokens to the CTC model's output. I have seen an option like --tid-to-pdf=tid2pdf for latgen-faster-mapped, but could not find this option anymore :)ThanksShahram
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I don't understand the issue about `<eps>` and the map. The decoder already treats `<eps>` specially.I would recommend to have the neural-net output indexes (plus one) as the ilabels in thedecoding graph, and use latgen-faster.However I just noticed that latgen-faster does not actually exist.You could create it though, it would have similar differences as decode-faster-mapped vs. decode-faster.
On Tue, Jan 7, 2020 at 9:34 AM Shahram Ghorbani <ghorban...@gmail.com> wrote:
Hi,--I have a CTC trained model and also TLG.fst for the decoding. But, since I have <eps> in my tokens I a map from my token to the model's output. I was wondering if there is any way to map the tokens to the CTC model's output. I have seen an option like --tid-to-pdf=tid2pdf for latgen-faster-mapped, but could not find this option anymore :)ThanksShahram
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