title: A Large Vocabulary End-to-End Myanmar Automatic Speech Recognition
abstract: In recent years, sequence-to-sequence technology has become popular in automatic speech recognition area. This model replaces the classic complex pipeline with a single neural network architecture. This paper proposes the use of transformer- and conformer-based models on Myanmar automatic speech recognition system (UCSY-Myan-ASR). Classical hybrid long short-term memory (LSTM) and end-to-end models are presented and evaluated to improve error rates. The experiments were carried on the UCSY-82-ho