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%0 Conference Proceedings
%A Beller, Grégory
%T Context Dependent Transformation of Expressivity in Speech Using a Bayesian Network
%D 2007
%B ParaLing
%F Beller07b
%K emotion
%K prosody
%K para linguistique
%K bayesian
%K expressivity
%X In this paper we describe a transformation system of speech expressivity. It aims at modifying the expressivity of a spoken or synthesized neutral utterance. The phonetic transcription, the stress level and the other information about the corresponding text supply a sequence of contexts. Every context corresponds to a set of parameters of acoustic transformation. These parameters change along the sentence and are used by a phase vocoder technology to transform the speech signal. The relation between the transformation parameters and the contexts is initialized by a set of rules. A Bayesian network transforms gradually this rule-based model into a data-driven model according to a learning phase involving an French expressive database. The system functions for French utterances and several acted emotions. It is employed at artistic ends for the multi-media, the theater and the cinema.
%1 6
%2 3
%U http://articles.ircam.fr/textes/Beller07b/