An introduction to statistical parametric speech synthesis

Study on Unit-Selection and Statistical Parametric Speech Synthesis Techniques

One of the interesting topics on multimedia domain is concerned with empowering computer in order to speech production. Speech synthesis is granting human abilities to the computer for speech production. Data-based approach and process-based approach are the two main approaches on speech synthesis. Each approach has its varied challenges. Unit-selection speech synthesis and statistical parametr...

A beginners’ guide to statistical parametric speech synthesis

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 r...

KLATTSTAT: knowledge-based parametric speech synthesis

This paper is an initial investigation into using knowledge-based parameters in the field of statistical parametric speech synthesis (SPSS). Utilizing the types of speech parameters used in the Klatt Formant Synthesizer we present automatic techniques for deriving such parameters from a speech database and building a statistical parametric speech synthesizer from these derived parameters. Altho...

Introduction to the Issue on Statistical Parametric Speech Synthesis

Statistical parametric speech synthesis with a novel codebook-based excitation model

Speech synthesis is an important modality in Cognitive Infocommunications, which is the intersection of informatics and cognitive sciences. Statistical parametric methods have gained importance in speech synthesis recently. The speech signal is decomposed to parameters and later restored from them. The decomposition is implemented by speech coders. We apply a novel codebook-based speech coding ...