From text to speech: the MITalk system
From text to speech: the MITalk system
Developments and paradigms in intonation research
Speech Communication
Multilingual Text-to-Speech Synthesis
Multilingual Text-to-Speech Synthesis
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In this work we show how our intonation corpus driven intonation modelling methodology MEMOInt can help in the graphical visualization of the complex relationships between the different prosodic features which configure the intonational aspects of natural speech MEMOInt has already been used successfully for the prediction of synthetic F0 contours in the presence of the usual data scarcity problems Now, we report on the possibilities of using the information gathered in the modelling phase in order to provide a graphical view of the relevance of the various prosodic features which affect the typical F0 movements The set of classes which group the intonation patterns found in the corpus can be structured in a tree in which the relation between the classes and the prosodic features of the input text is hierarchically correlated This visual outcome shows to be very useful to carry out comparative linguistic studies of prosodic phenomena and to check the correspondence between previous prosodic knowledge on a language and the real utterances found in a given corpus.