This paper describes an HMM-based speech synthesis system developed by the HTS working group for the Blizzard Challenge 2007. To further explore the potential of HMM-based speech synthesis, we incorporate new features in our conventional system which underpin a speaker-independent approach: speaker adaptation techniques; adaptive training for HSMMs; and full covariance modeling using the CSMAPLR transforms
We describe a hidden Markov model (HMM)-based speechsynthesis system developed at the Nagoya Institu...
Blizzard Challenge 2009 Workshop, September 4, 2009, Edinburgh, UK.This paper describes the NICT s...
The synthesis of child speech presents challenges both in the collection of data and in the building...
This paper describes a speaker-independent/adaptive HMM-based speech synthesis system developed for ...
Blizzard Challenge 2007 Workshop, August 25, 2007, Bonn, Germany.This paper describes an HMM-based...
This paper describes a speaker-adaptive HMM-based speech synthesis system. The new system, called ``...
ICASSP2008: IEEE International Conference on Acoustics, Speech, and Signal Processing, March 30 - ...
For the 2008 Blizzard Challenge, we used the same speaker-adaptive approach to HMM-based speech synt...
Abstract—This paper describes a speaker-adaptive HMM-based speech synthesis system. The new system, ...
The European Community’s Seventh Framework Programme (FP7/2007-2013) under Grant agreement 213845 (t...
INTERSPEECH2005: the 9th European Conference on Speech Communication and technology, September 4-8, ...
A statistical parametric approach to speech synthesis based on hidden Markov models (HMMs) has grown...
In this paper we analyze the effects of several factors and configuration choices encountered during...
For the 2009 Blizzard Challenge we have built an unsupervised version of the HTS-2008 speaker-adapti...
As speech synthesis techniques become more advanced, we are able to consider building high-quality v...
We describe a hidden Markov model (HMM)-based speechsynthesis system developed at the Nagoya Institu...
Blizzard Challenge 2009 Workshop, September 4, 2009, Edinburgh, UK.This paper describes the NICT s...
The synthesis of child speech presents challenges both in the collection of data and in the building...
This paper describes a speaker-independent/adaptive HMM-based speech synthesis system developed for ...
Blizzard Challenge 2007 Workshop, August 25, 2007, Bonn, Germany.This paper describes an HMM-based...
This paper describes a speaker-adaptive HMM-based speech synthesis system. The new system, called ``...
ICASSP2008: IEEE International Conference on Acoustics, Speech, and Signal Processing, March 30 - ...
For the 2008 Blizzard Challenge, we used the same speaker-adaptive approach to HMM-based speech synt...
Abstract—This paper describes a speaker-adaptive HMM-based speech synthesis system. The new system, ...
The European Community’s Seventh Framework Programme (FP7/2007-2013) under Grant agreement 213845 (t...
INTERSPEECH2005: the 9th European Conference on Speech Communication and technology, September 4-8, ...
A statistical parametric approach to speech synthesis based on hidden Markov models (HMMs) has grown...
In this paper we analyze the effects of several factors and configuration choices encountered during...
For the 2009 Blizzard Challenge we have built an unsupervised version of the HTS-2008 speaker-adapti...
As speech synthesis techniques become more advanced, we are able to consider building high-quality v...
We describe a hidden Markov model (HMM)-based speechsynthesis system developed at the Nagoya Institu...
Blizzard Challenge 2009 Workshop, September 4, 2009, Edinburgh, UK.This paper describes the NICT s...
The synthesis of child speech presents challenges both in the collection of data and in the building...