@inproceedings{31a9e17299b245f4bd76c57e03c542d9,
title = "Creation of Language Resources for the Development of a Medical Speech Recognition System for Latvian",
abstract = "This paper describes an ongoing work on the creation of Latvian language resources for the medical domain focusing on digital imaging to develop a medical speech recognition system for Latvian. The language resources include a pronunciation lexicon, a text corpus for language modelling, and an orthographically transcribed speech corpus for the (i) adaptation of the acoustic model, (ii) evaluation of the speech recognition accuracy, (iii) development and testing of rewrite rules for automatic text conversion to the spoken form and back to the written form. This work is part of a larger industry-driven research project which aims at the development of specific Latvian speech recognition systems for the medical domain.",
keywords = "Language resources, Latvian language, Medical domain, Speech recognition",
author = "Normunds Grūzītis and Ilze Auziņa and Kaspars Stepanovs and Darģis Roberts",
note = "Publisher Copyright: {\textcopyright} 2020 The authors and IOS Press.",
year = "2020",
month = sep,
day = "15",
doi = "10.3233/FAIA200615",
language = "English",
isbn = "9781643681160",
series = "Frontiers in Artificial Intelligence and Applications",
publisher = "IOS Press",
pages = "135--141",
editor = "Andrius Utka and Jurgita Vaicenoniene and Jolanta Kovalevskaite and Danguole Kalinauskaite",
booktitle = "Human Language Technologies - The Baltic Perspective - Proceedings of the 9th International Conference Baltic HLT 2020",
}