Figure 2
A diagram illustrating a Deep Neural Network architecture for acoustic feature classification.

MLP-based AF extractor is used to predict the posterior probabilities of speech attributes. (The input example is “hello” that is constructed by phone sequence of [HH, AH, L, OW]).

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