Sciweavers

ICASSP
2011
IEEE
12 years 7 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
12 years 10 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
12 years 10 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 2 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 3 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
13 years 10 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