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ICASSP
2011
IEEE
13 years 3 months ago
HMM-based speech synthesiser using the LF-model of the glottal source
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. ...
João P. Cabral, Steve Renals, Junichi Yamag...
INTERSPEECH
2010
13 years 6 months ago
A novel hybrid approach for Mandarin speech synthesis
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...
Shifeng Pan, Meng Zhang, Jianhua Tao
INTERSPEECH
2010
13 years 6 months ago
An implementation of decision tree-based context clustering on graphics processing units
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 ...
Nicholas Pilkington, Heiga Zen
SIGPRO
2008
101views more  SIGPRO 2008»
13 years 10 months ago
Line spectral pairs
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...
Ian Vince McLoughlin
ICASSP
2010
IEEE
13 years 11 months ago
HMM-based pseudo-clean speech synthesis for splice algorithm
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...
Jun Du, Yu Hu, Li-Rong Dai, Ren-Hua Wang
ICASSP
2009
IEEE
14 years 6 months ago
Trajectory training considering global variance for HMM-based speech synthesis
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...
Tomoki Toda, Steve Young