Testing three different Speech Synthesizers to acknowledge the advantages of DNN systems against HMM Methods
Abstract
Abstract. This document reports MOS results after testing naturalness and expressiveness in three different speech synthesis systems. A first system is based on HMM, the second one combines HMM and DNN and the third one is solely based on DNN. According to the results, DNN systems outperform HMM systems in synthetic speech quality.
Keywords
Speech Synthesis, Voice Parameterization, Line Spectral Pair, Hidden Markov Models, Deep Neural Networks