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.