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Creators/Authors contains: "Gravano, Agustin"

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  1. ; ; ; ; ; (, 10th ISCA Speech Synthesis Workshop)
    Accurate prosody prediction from text leads to more natural-sounding TTS. In this work, we employ a new set of fea- tures to predict ToBI pitch accent and phrase boundaries from text. We investigate a wide variety of text-based features, in- cluding many new syntactic features, several types of word em- beddings, co-reference features, LIWC features, and specificity information. We focus our work on the Boston Radio News Corpus, a ToBI-labeled corpus of relatively clean news broad- casts, but also test our classifiers on Audix, a smaller corpus of read news, and on the Columbia Games Corpus, a corpus of conversational speech, in order to test the applicability of our model in cross-corpus settings. Our results show strong per- formance on both tasks, as well as some promising results for cross-corpus applications of our models. 
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