Blizzard Challenge 2010 Workshop, September 25, 2010, Kyoto, Japan.This paper details a speech synthesis system developed at NICT for the Blizzard Challenge 2010. The system depends on an HMM-based speech synthesis technique that possesses two distinctive features: HMM training under global-variance constraint on the parameter trajectory and trainable mixed excitation for source-filter vocoding. For this year’s entry, we added some modifications to the system we developed for last year's Challenge. The major improvement is on the scheme for the training of the unvoiced filter that is a component of our mixed excitation model. Despite the fact that our excitation modelling has room for further improvement, the official results show that th...
This paper describes an HMM-based speech synthesis system developed by the HTS working group for th...
This paper describes the overview of the Nitech-NAIST HMM-based speech synthesis system developed fo...
For the 2008 Blizzard Challenge, we used the same speaker-adaptive approach to HMM-based speech synt...
Blizzard Challenge 2009 Workshop, September 4, 2009, Edinburgh, UK.This paper describes the NICT s...
Blizzard Challenge 2006 Workshop, September 16, 2006, Pittsburgh, Pennsylvania, US.The present pa...
We describe a hidden Markov model (HMM)-based speechsynthesis system developed at the Nagoya Institu...
Blizzard Challenge 2007 Workshop, August 25, 2007, Bonn, Germany.This paper describes an HMM-based...
INTERSPEECH2005: the 9th European Conference on Speech Communication and technology, September 4-8, ...
ICASSP2008: IEEE International Conference on Acoustics, Speech, and Signal Processing, March 30 - ...
Blizzard Challenge 2008 Workshop, September 21, 2008, Brisbane, Australia.This paper describes the...
We describe a statistical parametric speech synthesis system developed by a joint group from the Nag...
This paper describes a speaker-independent/adaptive HMM-based speech synthesis system developed for ...
Blizzard Challenge 2008 Workshop, September 21, 2008, Brisbane, Australia.For the 2008 Blizzard Ch...
The European Community’s Seventh Framework Programme (FP7/2007-2013) under Grant agreement 213845 (t...
In January 2005, an open evaluation of corpus-based text-to-speech synthesis systems using common sp...
This paper describes an HMM-based speech synthesis system developed by the HTS working group for th...
This paper describes the overview of the Nitech-NAIST HMM-based speech synthesis system developed fo...
For the 2008 Blizzard Challenge, we used the same speaker-adaptive approach to HMM-based speech synt...
Blizzard Challenge 2009 Workshop, September 4, 2009, Edinburgh, UK.This paper describes the NICT s...
Blizzard Challenge 2006 Workshop, September 16, 2006, Pittsburgh, Pennsylvania, US.The present pa...
We describe a hidden Markov model (HMM)-based speechsynthesis system developed at the Nagoya Institu...
Blizzard Challenge 2007 Workshop, August 25, 2007, Bonn, Germany.This paper describes an HMM-based...
INTERSPEECH2005: the 9th European Conference on Speech Communication and technology, September 4-8, ...
ICASSP2008: IEEE International Conference on Acoustics, Speech, and Signal Processing, March 30 - ...
Blizzard Challenge 2008 Workshop, September 21, 2008, Brisbane, Australia.This paper describes the...
We describe a statistical parametric speech synthesis system developed by a joint group from the Nag...
This paper describes a speaker-independent/adaptive HMM-based speech synthesis system developed for ...
Blizzard Challenge 2008 Workshop, September 21, 2008, Brisbane, Australia.For the 2008 Blizzard Ch...
The European Community’s Seventh Framework Programme (FP7/2007-2013) under Grant agreement 213845 (t...
In January 2005, an open evaluation of corpus-based text-to-speech synthesis systems using common sp...
This paper describes an HMM-based speech synthesis system developed by the HTS working group for th...
This paper describes the overview of the Nitech-NAIST HMM-based speech synthesis system developed fo...
For the 2008 Blizzard Challenge, we used the same speaker-adaptive approach to HMM-based speech synt...