APSIPA Annual Summit and Conference 2009, October 4-7, 2009, Sapporo, Japan.A statistical parametric approach to speech synthesis based HMMs has grown in popularity over the last few years. In this approach, spectrum, excitation, and duration of speech are simultaneously modeled by context-dependent HMMs, and speech waveforms are generated from the HMMs themselves. Since December 2002, we have publicly released an opensource software toolkit named “HMM-based speech synthesis system (HTS)” to provide a research and development toolkit for statistical parametric speech synthesis. This paper describes recent developments of HTS in detail, as well as future release plans
In the present paper, a hidden-semi Markov model (HSMM) based speech synthesis system is proposed. I...
This paper describes a novel technique for producing smooth speech parametric representation evoluti...
Abstract—The quality of speech generated from Hidden Markov Model (HMM)-based Speech Synthesis Syste...
A statistical parametric approach to speech synthesis based on hidden Markov models (HMMs) has grown...
A Text-to-speech (TTS) synthesis system is the artificial production of human system. This paper rev...
Statistical parametric speech synthesis, based on HMM-like models, has become competitive with estab...
INTERSPEECH2005: the 9th European Conference on Speech Communication and technology, September 4-8, ...
This review gives a general overview of techniques used in statistical parametric speech synthesis. ...
This paper describes an HMM-based speech synthesis system developed by the HTS working group for th...
A statistical speech synthesis system based on the hidden Markov model (HMM) was recently proposed. ...
Blizzard Challenge 2007 Workshop, August 25, 2007, Bonn, Germany.This paper describes an HMM-based...
Speech synthesis is the process of production of artificial speech. The system used for generation o...
Abstract—This paper describes a speaker-adaptive HMM-based speech synthesis system. The new system, ...
This paper describes a speaker-adaptive HMM-based speech synthesis system. The new system, called ``...
We describe a hidden Markov model (HMM)-based speechsynthesis system developed at the Nagoya Institu...
In the present paper, a hidden-semi Markov model (HSMM) based speech synthesis system is proposed. I...
This paper describes a novel technique for producing smooth speech parametric representation evoluti...
Abstract—The quality of speech generated from Hidden Markov Model (HMM)-based Speech Synthesis Syste...
A statistical parametric approach to speech synthesis based on hidden Markov models (HMMs) has grown...
A Text-to-speech (TTS) synthesis system is the artificial production of human system. This paper rev...
Statistical parametric speech synthesis, based on HMM-like models, has become competitive with estab...
INTERSPEECH2005: the 9th European Conference on Speech Communication and technology, September 4-8, ...
This review gives a general overview of techniques used in statistical parametric speech synthesis. ...
This paper describes an HMM-based speech synthesis system developed by the HTS working group for th...
A statistical speech synthesis system based on the hidden Markov model (HMM) was recently proposed. ...
Blizzard Challenge 2007 Workshop, August 25, 2007, Bonn, Germany.This paper describes an HMM-based...
Speech synthesis is the process of production of artificial speech. The system used for generation o...
Abstract—This paper describes a speaker-adaptive HMM-based speech synthesis system. The new system, ...
This paper describes a speaker-adaptive HMM-based speech synthesis system. The new system, called ``...
We describe a hidden Markov model (HMM)-based speechsynthesis system developed at the Nagoya Institu...
In the present paper, a hidden-semi Markov model (HSMM) based speech synthesis system is proposed. I...
This paper describes a novel technique for producing smooth speech parametric representation evoluti...
Abstract—The quality of speech generated from Hidden Markov Model (HMM)-based Speech Synthesis Syste...