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› Forums › Speech Synthesis › DNN synthesis › Input features of DNNs
I am not sure I get how the linguistic features that provide the input to the NN are obtained. In other words, how are the vectors of “answers” to binary questions about linguistic context/prosoy obtained: is it decision trees, similarly to HMM based synthesis? At what point is this done, and by what model?
Thank you
I’ll add more detail in the next lecture about how the linguistic specification from the front end is converted to a vector of numerical (mostly binary) features, ready for input to the DNN.
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