@inproceedings{a1d68eb40cbf40bf879848639d082f27,
title = "Comparison of Rule-based and Statistical Methods for Grapheme to Phoneme Modelling",
abstract = "Grapheme to phoneme modelling is one of the key features in automated speech recognition and speech synthesis. In this paper, the authors compare two different approaches: a statistical machine translation based method using the phonetically transcribed Latvian Speech Recognition Corpus and a rule-based method for phonetic transcription of words from grammatically correct forms. The paper provides 10-fold cross-validation results and error analysis for both methods.",
keywords = "Grapheme to phoneme modelling, Latvian language, method comparison",
author = "Ilze Auziņa and Marcis Pinnis and Roberts Dargis",
note = "Publisher Copyright: {\textcopyright} 2014 The Authors and IOS Press.; 6th International Conference on Human Language Technologies - The Baltic Perspective, Baltic HLT 2014 ; Conference date: 26-09-2014 Through 27-09-2014",
year = "2014",
doi = "10.3233/978-1-61499-442-8-57",
language = "English",
series = "Frontiers in Artificial Intelligence and Applications",
publisher = "IOS Press BV",
pages = "57--60",
editor = "Andrius Utka and Gintare Grigonyte and Jurgita Kapociute-Dzikiene and Jurgita Vaicenoniene",
booktitle = "Human Language Technologies - The Baltic Perspective",
address = "Netherlands",
}