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› Forums › Speech Synthesis › Unit selection › Implicit and explicit labeling
Since implicit and explicit labeling each has its prons and cons, is it possible to apply a combination of implicit and explicit labels to the training data? For instance, hand label aspects that tend to have a higher accuracy and do not vary much across speakers (e.g., POS tagging), and leave the rest to implicit labeling?
In many systems, I think a mixture of explicit and implicit labels are used.
Read what Taylor has to say about intuitive versus analytic labelling (section 17.1.4 to 17.1.6).
When you mention hand-labelling POS tags, I think a better idea is to hand-label some training data, then train a POS tagger, and use that to label your actual database. This is what is done in practice.
Can you suggest which explicit labels you would like to place on the database?
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