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@conference{silen2010_speechProsody,
author = "Hanna Sil{\'e}n and Elina Helander and Jani Nurminen and Moncef Gabbouj",
abstract = "Appropriate phoneme durations are essential for high quality speech synthesis. In hidden Markov model-based text-to-speech (HMM-TTS), durations are typically modeled statistically using state duration probability distributions and duration prediction for unseen contexts. Use of rich context features enables synthesis without high-level linguistic knowledge. In this paper we analyze the accuracy of state duration modeling against phone duration modeling using simple prediction techniques. In addition to the decision tree-based techniques, regression techniques for rich context features with high collinearity are discussed and evaluated.",
booktitle = "The Fifth International Conference on Speech Prosody",
keywords = "speech synthesis",
month = "May",
title = "{A}nalysis of {D}uration {P}rediction {A}ccuracy in {HMM}-{B}ased {S}peech {S}ynthesis",
url = "https://speechprosody2010.illinois.edu/papers/100510.pdf",
year = "2010",
}