Comments (2)
What I mean is if the Fast Text2Unit Model is the HMM model under Kaldi recipe, and it used for decoding the unpaired speech and get the aligned phonemes from the lattice.
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Hi @blueblue-bubble, the Fast Text2Unit Model is used for text-to-hidden unit transformation, it is modified from Fastspeech (a non-autoregressive tts model). The Fast Text2Unit Model is the so-called "Hidden-unit tokenizer for text" in the paper (see appendix).
Note that the kaldi HMM model is not provided in this repo, you can follow the kaldi recipe.
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Related Issues (20)
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