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A major factor which causes a deterioration in speech quality in HMM-based speech synthesis is the use of a simple delta pulse signal to generate the excitation of voiced speech. ...
The paper investigates a new method to solve concatenation problems of Mandarin speech synthesis which is based on the hybrid approach of HMM-based speech synthesis and unit selec...
Decision tree-based context clustering is the essential but timeconsuming part of building HMM-based speech synthesis systems. The widely used implementation of this technique is ...
A minimum generation error (MGE) criterion had been proposed to solve the issues related to maximum likelihood (ML) based HMM training in HMM-based speech synthesis. In this paper...
In this paper, we present a novel approach to relax the constraint of stereo-data which is needed in a series of algorithms for noise-robust speech recognition. As a demonstration...
This paper presents a novel method for training hidden Markov models (HMMs) for use in HMM-based speech synthesis. The primary goal of HMM parameter optimization is to ensure that...