CHOOSING MODELS TO IMPROVING THE PERFORMANCE OF ASR SYSTEM
##plugins.themes.academic_pro.article.main##
Abstract
This has led to an increase in the number of studies devoted to the detection and classification of errors in automatic speech recognition (ASR) systems. However, different data sets and evaluation protocols are used, which makes it difficult to directly compare the proposed approaches (for example, functions and models).