This paper presents a framework for maximum a posteriori (MAP) speaker adaptation of state duration distributions in hidden Markov models (HMM). Four key issues of MAP estimation, ...
To achieve natural high quality synthesised speech in HMMbased speech synthesis, the effective modelling of complex acoustic and linguistic contexts is critical. Traditional appro...
Discriminative mapping transforms (DMTs) is an approach to robustly adding discriminative training to unsupervised linear adaptation transforms. In unsupervised adaptation DMTs ar...
The growing use of mobile code in downloaded applications and servlets has increased interest in robust mechanisms for ensuring privacy and secrecy. Information flow control is in...
In the past decades, many formal frameworks (e.g. timed automata and temporal logics) and techniques (e.g. model checking and theorem proving) have been proposed to model a real-ti...
Jinfeng Huang, Marc Geilen, Jeroen Voeten, Henk Co...