Alberto Pacchiotti

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The paper describes a corpus-based approach applied in the evolution of ELOQUENS ® , the CSELT text-to-speech synthesis system for Italian, towards multi-voice, multi-language, high-naturalness concatenative synthesis. The acoustic modules have been redesigned, according to the idea of reducing the number of junctions and the need of prosodic modification.(More)
This note describes a framework used to simulate three basic emotional styles by means of prosodic transplantation techniques applied to the output of a corpus based speech synthesis system. The target pitch profiles together with duration and energy constraints have been obtained applying simple rules inferred from the analysis of a small corpus, recorded(More)
The renewed interest in grapheme to phoneme conversion (G2P), due to the need of developing multilingual speech synthesizers and recognizers, suggests new approaches more efficient than the traditional rule&exception ones. A number of studies have been performed to investigate the possible use of machine learning techniques to extract phonetic knowledge in(More)
In this work, we present an innovative approach for grapheme to phoneme conversion, which achieves very low error rates for languages like British English, American English and Dutch, and gives good generalization performances. One of the basic steps in the text-to-speech conversion performed by the speech synthesis systems is the phonetic transcription of(More)
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