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I won't probably work on this because (1) it adds extra implementation complexity (2) didn't give us significant performance gain based on my experience (2) I was able to get good results without using dynamic features. For example, the model used for https://soundcloud.com/r9y9/20220802-nnsvs-ritsu-test-tellme?in=r9y9/sets/dnn-based-singing-voice doesn't use dynamic features at all; MLPG is not used.
https://r9y9.github.io/blog/2017/10/05/ganvc/
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