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Parameter generation algorithm considering Modulation Spectrum for HMM-based speech synthesis
2015
2015 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
This paper proposes a novel parameter generation algorithm for high-quality speech generation in Hidden Markov Model (HMM)based speech synthesis. One of the biggest issues causing significant quality degradation is the over-smoothing effect often observed in generated parameter trajectories. Global Variance (GV) is known as a feature well correlated with the over-smoothing effect and a metric on the GV of the generated parameters is effectively used as a penalty term in the conventional
doi:10.1109/icassp.2015.7178764
dblp:conf/icassp/TakamichiTBN15
fatcat:up7kn7aqbvhbvjr5swrnawapxy