Titlebook: Data-Driven Techniques in Speech Synthesis; Robert I. Damper Book 2001 Springer Science+Business Media Dordrecht 2001 Intonation.Klang.Pho

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Book 2001 analysis, letter-to-sound conversion, prosodicmarking and extraction of parameters to drive synthesis hardware..Fuelled by cheap computer processing and memory, the fields of machinelearning in particular and artificial intelligence in general areincreasingly exploiting approaches in which large da

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Heinrich C. Mayr,Willem-Jan van den Heuvelunciation must exactly match the dictionary pronunciation to be correct) on an unseen 1000-word test set. Based on the judgements of three human listeners in a blind assessment study, our system was estimated to have a serious error rate of 16.7% (on whole words) compared to 26.1% for the DECtalk 3.0 rule base.

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https://doi.org/10.1007/978-3-031-02195-4ionary — a frequency-tagged corpus — and uses analogy to generate the pronunciation of words not in the dictionary. A range of implementational choices is discussed and the effectiveness of the model for (British) English, German and Māori demonstrated.

Blasphemy

https://doi.org/10.1007/978-3-031-02195-4ere, a string of symbols is viewed as a concatenation of independent variable-length subsequences of symbols. The ability of the multigram model to learn relevant subsequences of phonemes is illustrated by the selection of multiphone units for speech synthesis.

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Cervical-Spine

Ali Fuad Selvi,Nathanael Rudolphwhich in turn are used to predict accent and phrasing decisions for text-to-speech. Rules generated by these methods achieve more than 95% accuracy for phrasing decisions and 85% for prominence assignment.

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