This paper describes the CSTR entry for the Blizzard Challenge 2009. The work focused on modifying two parts of the Nitech 2005 HTS speech synthesis system to improve naturalness and contextual appropriateness. The first part incorporated an implementation of the Linjencrants-Fant (LF) glottal source model. The second part focused on improving synthesis of prosodic prominence including emphasis through context dependent phonemes. Emphasis was assigned to the synthesised test sentences based on a handful of theory based rules. The two parts (LF-model and prosodic prominence) were not combined and hence evaluated separately. The results on naturalness for the LF-model showed that it is not yet perceived as natural as the Benchmark HTS system ...
Blizzard Challenge 2009 Workshop, September 4, 2009, Edinburgh, UK.This paper describes the NICT s...
A statistical parametric approach to speech synthesis based on hidden Markov models (HMMs) has grown...
Blizzard Challenge 2010 Workshop, September 25, 2010, Kyoto, Japan.This paper details a speech syn...
This paper describes the overview of the Nitech-NAIST HMM-based speech synthesis system developed fo...
Parametric speech synthesis has received increased attention in recent years following the developme...
In January 2005, an open evaluation of corpus-based text-to-speech synthesis systems using common sp...
Blizzard Challenge 2006 Workshop, September 16, 2006, Pittsburgh, Pennsylvania, US.The present pa...
For the 2008 Blizzard Challenge, we used the same speaker-adaptive approach to HMM-based speech synt...
The European Community’s Seventh Framework Programme (FP7/2007-2013) under Grant agreement 213845 (t...
We describe a statistical parametric speech synthesis system developed by a joint group from the Nag...
INTERSPEECH2005: the 9th European Conference on Speech Communication and technology, September 4-8, ...
A major cause of degradation of speech quality in HMM-based speech synthesis is the use of a simple ...
This paper proposes the use of the Liljencrants-Fant model (LF-model) to represent the glottal sourc...
This paper describes a speaker-independent/adaptive HMM-based speech synthesis system developed for ...
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...
A statistical parametric approach to speech synthesis based on hidden Markov models (HMMs) has grown...
Blizzard Challenge 2010 Workshop, September 25, 2010, Kyoto, Japan.This paper details a speech syn...
This paper describes the overview of the Nitech-NAIST HMM-based speech synthesis system developed fo...
Parametric speech synthesis has received increased attention in recent years following the developme...
In January 2005, an open evaluation of corpus-based text-to-speech synthesis systems using common sp...
Blizzard Challenge 2006 Workshop, September 16, 2006, Pittsburgh, Pennsylvania, US.The present pa...
For the 2008 Blizzard Challenge, we used the same speaker-adaptive approach to HMM-based speech synt...
The European Community’s Seventh Framework Programme (FP7/2007-2013) under Grant agreement 213845 (t...
We describe a statistical parametric speech synthesis system developed by a joint group from the Nag...
INTERSPEECH2005: the 9th European Conference on Speech Communication and technology, September 4-8, ...
A major cause of degradation of speech quality in HMM-based speech synthesis is the use of a simple ...
This paper proposes the use of the Liljencrants-Fant model (LF-model) to represent the glottal sourc...
This paper describes a speaker-independent/adaptive HMM-based speech synthesis system developed for ...
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...
A statistical parametric approach to speech synthesis based on hidden Markov models (HMMs) has grown...
Blizzard Challenge 2010 Workshop, September 25, 2010, Kyoto, Japan.This paper details a speech syn...