1. A computer-implemented method of predicting prosody for synthesizing speech, comprising: extracting features from runtime data using a parametric model, wherein the features include deep layer features; comparing the features from runtime data with features from training data using an exemplar-based model to predict prosody of the runtime data, the features from the training data being paired with exemplars from the training data and stored on a computer-readable storage medium; building a hybrid model including the parametric model and the exemplar-based model for each genre of interest, the hybrid model including a genre-indictor feature to trigger appropriate deep layer features; and synthesizing speech, by a speech synthesizer, using the predicted prosody.