Additive sinusoidal synthesis is a popular technique for applications like sound synthesis or very low bit rate parametric audio decoding. In this paper, different algorithms for the efficient synthesis of sinusoids on general purpose CPUs as found in today’s PCs are investigated. Fast algorithms for time domain synthesis of constant and linearly changing frequencies are presented and compared ...

This paper presents a methodology of parametric tolerance synthesis with respect to output aleatory uncertainty specifications. It relies on density function propagation through the inverse model. The resulting parameter density function is then used to synthesize a confidence interval suitable for sizing purpose. As an illustration, parametric tolerance synthesis on a DC motor rotating a load ...

This paper describes our work on building a formant synthesis system based on both rule generated and database driven methods. Three parametric synthesis systems are discussed: our traditional rule based system, a speaker adapted system, and finally a gesture system. The gesture system is a further development of the adapted system in that it includes concatenated formant gestures from a data-d...

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...

This paper investigates the use of the Bayesian inference for devising an example-based rendering procedure. As prior model of this Bayesian inference, we exploit the multiscale non-parametric model recently proposed by Wei et al. for texture synthesis. This model appears to be interesting to also capture some characteristics of a rendering style from an artistic illustration example. Obtained ...