Statistical parametric speech synthesis, based on HMM-like models, has become competitive with established concatenative techniques over the last few years. This paper offers a non-mathematical introduction to this method of speech synthesis. It is intended to be complementary to the wide range of excellent technical publications already available. Rather than offer a comprehensive literature review, this paper instead gives a small number of carefully chosen references which are good starting points for further reading
Speech synthesis is the process of production of artificial speech. The system used for generation o...
In the present paper, a hidden-semi Markov model (HSMM) based speech synthesis system is proposed. I...
Multiple-level acoustic models (AMs) are often combined in statis-tical parametric speech synthesis....
This review gives a general overview of techniques used in statistical parametric speech synthesis. ...
This paper describes a novel technique for producing smooth speech parametric representation evoluti...
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 proposes a new framework of speech synthesis based on the Bayesian approach. The Bayesian...
Summarization: Hidden Markov models (HMMs) are becoming the dominant approach for text-to-speech syn...
This paper proposes a new framework of speech synthesis based onthe Bayesian approach. The Bayesian ...
A statistical parametric approach to speech synthesis based on hidden Markov models (HMMs) has grown...
This thesis proposes a new probabilistic model and speech parameter generation method for statistica...
Abstract Speech synthesis has been applied in many kinds of practical applications. Currently, state...
68 p.This project is a comprehensive introduction to Text-To-Speech (TTS) synthesis of a particular ...
A statistical speech synthesis system based on the hidden Markov model (HMM) was recently proposed. ...
Speech synthesis is the process of production of artificial speech. The system used for generation o...
In the present paper, a hidden-semi Markov model (HSMM) based speech synthesis system is proposed. I...
Multiple-level acoustic models (AMs) are often combined in statis-tical parametric speech synthesis....
This review gives a general overview of techniques used in statistical parametric speech synthesis. ...
This paper describes a novel technique for producing smooth speech parametric representation evoluti...
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 proposes a new framework of speech synthesis based on the Bayesian approach. The Bayesian...
Summarization: Hidden Markov models (HMMs) are becoming the dominant approach for text-to-speech syn...
This paper proposes a new framework of speech synthesis based onthe Bayesian approach. The Bayesian ...
A statistical parametric approach to speech synthesis based on hidden Markov models (HMMs) has grown...
This thesis proposes a new probabilistic model and speech parameter generation method for statistica...
Abstract Speech synthesis has been applied in many kinds of practical applications. Currently, state...
68 p.This project is a comprehensive introduction to Text-To-Speech (TTS) synthesis of a particular ...
A statistical speech synthesis system based on the hidden Markov model (HMM) was recently proposed. ...
Speech synthesis is the process of production of artificial speech. The system used for generation o...
In the present paper, a hidden-semi Markov model (HSMM) based speech synthesis system is proposed. I...
Multiple-level acoustic models (AMs) are often combined in statis-tical parametric speech synthesis....