@inproceedings{b2f1b26daa464799a8aeec3e7f9a3603,
title = "General-purpose Lithuanian automatic speech recognition system",
abstract = "This paper describes the development of a general-purpose automatic speech recognition system for Lithuanian. The system is capable of performing both the transcription of user submitted audio recordings and real-time speech-totext conversion. The comparative evaluation results prove that the presented system outperforms all other ASR systems for the Lithuanian language. The system also includes number and date normalization and is paired with an automatic punctuation restoration model that achieves state-of-the-art results for the Lithuanian language. Importantly, the system is publicly available to any Lithuanian speaker for testing via its web-page and mobile application.",
keywords = "Automatic speech recognition, General domain, Lithuanian language, Post-processing, Punctuation restoration",
author = "Askars Salimbajevs and Jurgita Kapociute-Dzikiene",
note = "Publisher Copyright: {\textcopyright} 2018 The authors and IOS Press.; 8th International Conference on Human Language Technologies - The Baltic Perspective, Baltic HLT 2018 ; Conference date: 27-09-2018 Through 29-09-2018",
year = "2018",
doi = "10.3233/978-1-61499-912-6-150",
language = "English",
series = "Frontiers in Artificial Intelligence and Applications",
publisher = "IOS Press BV",
pages = "150--157",
editor = "Kadri Muischnek and Kaili Muurisep",
booktitle = "Human Language Technologies - The Baltic Perspective - Proceedings of the 8th International Conference, Baltic HLT 2018",
address = "Netherlands",
}