AbstractFor Speech Synthesis, the understanding of the physical and mathematical models of speech is essential. Hence, Speech Modeling is a large field, and is well documented in literature. The aim in this paper is to provide a background review of several speech models used in speech synthesis, specifically the Source Filter Model, Linear Prediction Model, Sinusoidal Model, and Harmonic/Noise Model. The most important models of speech signals will be described starting from the earlier ones up until the last ones, in order to highlight major improvements over these models. It would be desirable a parametric model of speech, that is relatively simple, flexible, high quality, and robust in re-synthesis. Emphasis will be given in Harmonic / ...
Traditional source-filter model has obvious limitation for speech synthesis in pitch modification du...
Feature-based vocoders, e.g., STRAIGHT, offer a way to manipulate the perceived characteristics of t...
Abstract: One well-known problem with speech synthesis is the occurrence of audible discontinuities ...
AbstractFor Speech Synthesis, the understanding of the physical and mathematical models of speech is...
For Speech Synthesis, the understanding of the physical and mathematical models of speech is essenti...
The model of speech production generally used in speech synthesis is that of a source modified by a ...
Sinusoidal vocoders can generate high quality speech, but they have not been extensively applied to ...
Speech analysis-synthesis techniques, for speaker characteristic modification, have many application...
The paper is a brief description of the basic approaches in text-to-speech synthesis. A new approach...
Statistical parametric speech synthesis, based on HMM-like models, has become competitive with estab...
This paper proposes the use of the Liljencrants-Fant model (LFmodel) to represent the glottal source...
This book focuses on speech signal phenomena, presenting a robustification of the usual speech gener...
Summarization: Hidden Markov models (HMMs) are becoming the dominant approach for text-to-speech syn...
All Statistical Parametric Speech Synthesizers consist of a linear pipeline of components. This view...
Most of the degradation in current Statistical Parametric Speech Synthesis (SPSS) results from the f...
Traditional source-filter model has obvious limitation for speech synthesis in pitch modification du...
Feature-based vocoders, e.g., STRAIGHT, offer a way to manipulate the perceived characteristics of t...
Abstract: One well-known problem with speech synthesis is the occurrence of audible discontinuities ...
AbstractFor Speech Synthesis, the understanding of the physical and mathematical models of speech is...
For Speech Synthesis, the understanding of the physical and mathematical models of speech is essenti...
The model of speech production generally used in speech synthesis is that of a source modified by a ...
Sinusoidal vocoders can generate high quality speech, but they have not been extensively applied to ...
Speech analysis-synthesis techniques, for speaker characteristic modification, have many application...
The paper is a brief description of the basic approaches in text-to-speech synthesis. A new approach...
Statistical parametric speech synthesis, based on HMM-like models, has become competitive with estab...
This paper proposes the use of the Liljencrants-Fant model (LFmodel) to represent the glottal source...
This book focuses on speech signal phenomena, presenting a robustification of the usual speech gener...
Summarization: Hidden Markov models (HMMs) are becoming the dominant approach for text-to-speech syn...
All Statistical Parametric Speech Synthesizers consist of a linear pipeline of components. This view...
Most of the degradation in current Statistical Parametric Speech Synthesis (SPSS) results from the f...
Traditional source-filter model has obvious limitation for speech synthesis in pitch modification du...
Feature-based vocoders, e.g., STRAIGHT, offer a way to manipulate the perceived characteristics of t...
Abstract: One well-known problem with speech synthesis is the occurrence of audible discontinuities ...