A statistical parametric approach to speech synthesis based on hidden Markov models (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 generate from the HMMs themselves. Since December 2002, we have publicly released an open-source 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
AbstractThis paper presents a technique for learning hidden Markov model (HMM) state sequences from ...
International audienceA major drawback of current Hidden Markov Model (HMM)-based speech synthesis i...
INTERSPEECH2005: the 9th European Conference on Speech Communication and technology, September 4-8, ...
APSIPA Annual Summit and Conference 2009, October 4-7, 2009, Sapporo, Japan.A statistical parametr...
A Text-to-speech (TTS) synthesis system is the artificial production of human system. This paper rev...
This paper describes a speaker-adaptive HMM-based speech synthesis system. The new system, called ``...
This paper describes an HMM-based speech synthesis system developed by the HTS working group for th...
Statistical parametric, especially Hidden Markov Model-based, text-to-speech (TTS) synthesis has rec...
This review gives a general overview of techniques used in statistical parametric speech synthesis. ...
The synthesis of child speech presents challenges both in the collection of data and in the building...
The paper describes the development of a trainable speech synthesis system, based on hidden Markov m...
A statistical speech synthesis system based on the hidden Markov model (HMM) was recently proposed. ...
As speech synthesis techniques become more advanced, we are able to consider building high-quality v...
In the present paper, a hidden-semi Markov model (HSMM) based speech synthesis system is proposed. I...
At the time of beginning this thesis, statistical parametric speech synthesis (SPSS) using hidden M...
AbstractThis paper presents a technique for learning hidden Markov model (HMM) state sequences from ...
International audienceA major drawback of current Hidden Markov Model (HMM)-based speech synthesis i...
INTERSPEECH2005: the 9th European Conference on Speech Communication and technology, September 4-8, ...
APSIPA Annual Summit and Conference 2009, October 4-7, 2009, Sapporo, Japan.A statistical parametr...
A Text-to-speech (TTS) synthesis system is the artificial production of human system. This paper rev...
This paper describes a speaker-adaptive HMM-based speech synthesis system. The new system, called ``...
This paper describes an HMM-based speech synthesis system developed by the HTS working group for th...
Statistical parametric, especially Hidden Markov Model-based, text-to-speech (TTS) synthesis has rec...
This review gives a general overview of techniques used in statistical parametric speech synthesis. ...
The synthesis of child speech presents challenges both in the collection of data and in the building...
The paper describes the development of a trainable speech synthesis system, based on hidden Markov m...
A statistical speech synthesis system based on the hidden Markov model (HMM) was recently proposed. ...
As speech synthesis techniques become more advanced, we are able to consider building high-quality v...
In the present paper, a hidden-semi Markov model (HSMM) based speech synthesis system is proposed. I...
At the time of beginning this thesis, statistical parametric speech synthesis (SPSS) using hidden M...
AbstractThis paper presents a technique for learning hidden Markov model (HMM) state sequences from ...
International audienceA major drawback of current Hidden Markov Model (HMM)-based speech synthesis i...
INTERSPEECH2005: the 9th European Conference on Speech Communication and technology, September 4-8, ...