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Autoregressive models for statistical parametric speech synthesis
(IEEE (Institute of Electrical and Electronics Engineers), 2013-03)
We propose using the autoregressive hidden Markov model (HMM) for speech synthesis. The autoregressive HMM uses the same model for parameter estimation and synthesis in a consistent way, in contrast to the standard approach ...
Fast, low-artifact speech synthesis considering global variance
(IEEE (Institute of Electrical and Electronics Engineers), 2013-05-27)
Speech parameter generation considering global variance (GV generation) is widely acknowledged to dramatically improve the quality of synthetic speech generated by HMM-based systems. However it is slower and has higher ...