This paper describes a source modeling method for hidden Markov model (HMM) based speech synthesis for improved naturalness. A speech corpus is rst decomposed into the glottal sou...
Tuomo Raitio, Antti Suni, Hannu Pulakka, Martti Va...
Transferring a structure from the visual modality to the aural one presents a difficult challenge. In this work we are experimenting with prosody modeling for the synthesized speec...
Abstract. The purpose of the present paper is to examine the relationships between target and concatenation costs and the quality (with focus on naturalness) of generated speech. S...
The consortium ECESS1 (European Center of Excellence for Speech Synthesis) has set up a framework for evaluation of software modules and tools relevant for speech synthesis. Till ...
To achieve natural high quality synthesised speech in HMMbased speech synthesis, the effective modelling of complex acoustic and linguistic contexts is critical. Traditional appro...