A computational grammar of discourse-neutral prosodic phrasing in English
Computational Linguistics
Modeling of intonation for speech synthesis
Modeling of intonation for speech synthesis
IGTree: Using Trees for Compression and Classification in Lazy LearningAlgorithms
Artificial Intelligence Review - Special issue on lazy learning
The String-to-String Correction Problem
Journal of the ACM (JACM)
Building a large annotated corpus of English: the penn treebank
Computational Linguistics - Special issue on using large corpora: II
Journal of Artificial Intelligence Research
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We present ongoing work on prosody prediction for speech synthesis. This approach considers sentences as tree structures and infers the prosody from a corpus of such structures using machine learning techniques. The prediction is achieved from the prosody of the closest sentence of the corpus through tree similarity measurements, using either the nearest neighbour algorithm or an analogy-based approach. We introduce two different tree structure representations, the tree similarity metrics considered, and then we discuss the different prediction methods. Experiments are currently under process to qualify this approach.