Global Variance in Speech Synthesis With Linear Dynamical Models.

IEEE Signal Processing Letters(2016)

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摘要
Linear Dynamical Models (LDMs) have been used in speech synthesis recently as an alternative to hidden Markov models (HMMs). Among the advantages of LDMs are the ability to capture the dynamics of speech and the achievement of synthesized speech quality similar to HMM-based speech systems on a smaller footprint. However, such as in the HMM case, LDMs produce over-smoothed trajectories of speech pa...
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关键词
Hidden Markov models,Trajectory,Speech,Speech synthesis,Acoustics,Mathematical model,Covariance matrices
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