This paper proposes results of an application of a neural network on the problem of deciding whether a certain punctuation mark in Czech text is or is not the end of a sentence. It also discusses possibilities of using methods for relevant parameters extraction and compar...

The comparison of naturalness of various prosody models for synthetic speech is presented in this paper. Several listening tests of four methods for generating F0 are described together with their results and conclusions. The main goal is to compare the newly created data-driven pr...

This paper understands Golem as an artificial conscious being and the problem of Golem construction is seen as establishing appropriate causal relations between different causal domains - namely the causal domain of neural systems (either human brains or artificial neural networks) and ...

This paper introduces a new data-driven prosody model for the text-to-speech system ARTIC. The model is intended to be almost language-independent and to generate naturally sounding intonation with a link to semantics. It is based on text parametrisation using a new prosodic grammar...

This paper describes data-driven modelling of all three basic prosodic features - fundamental frequency, intensity and segmental duration - in the Czech text-to-speech system ARTIC. The fundamental frequency is generated by a model based on concatenation of automatically acquired intonational pat...

We describe a statistical method for assignment of prosodic phrases and semantic accents in read speech data. The method is based on statistical evaluation of listening test data by a maximum-likelihood approach with parameters estimated by an EM algorithm. We also present linguisticall...

The present paper understands prosodic phrases as units which take part in constituting the rhythmical structure of speech. Due to very subjective and inconsistent criteria for the prosodic phrase perception there must be an objectively underlain method for prosodic phrase assignment. This&#...

The paper deals with the evaluation of large--scale listening tests and with the detection of unaccountable or unreliable answers for each listener. The iterative maximum likelihood estimation scheme is proposed and its abilities are demonstrated and discussed on data collected from a l...

The present paper focuses on the current handling of target features in the unit selection approach basically requiring huge corpora. In the paper there are outlined possible solutions based on measuring (dis)similarity among prosodic patterns. As the start of research, the feasibility ...

The synthesis of emotional speech is still an open question. The principal issue is how to introduce expressivity without compromising the naturalness of the synthetic speech produced by means of the state-of-the-art technology. In this paper two concatenative synthesis systems are described...