ABSTRACT Automatic Speech Recognition (ASR) is an active field of research due to its
large number of applications and the proliferation of interfaces or computing devices that …

Speaking skills generally receive little attention in traditional English as a Foreign Language
(EFL) classrooms, and this is especially the case in secondary education in Indonesia. A …

This review provides an overview and analysis of ASR (automatic speech recognition)
research claims identified in CALL (computer-assisted language learning) studies from the …

Automatic speech recognition (ASR) is an essential technique of human–computer
interactions; gain control is a commonly used operation in ASR. However, inappropriate …

Compared with text-independent speaker verification (TI-SV) systems, text-dependent
speaker verification (TD-SV) counterparts often have better performance for their efficient …

Featured Application The results of this study provide key information, both linguistic and
technical, to use signals recorded close to the nose to evaluate hypernasality automatically …

In this paper, we propose a novel loss by integrating a deep clustering (DC) loss at the frame-
level and a speaker recognition loss at the segment-level into a single network without …

Abstract The superiority of Automatic Speech Recognition (ASR) has significantly enhanced
over time, with a focus from short utterance circumstances to longer audio signal. In short …

Sentence segmentation is important for improving the human readability of Automatic
Speech Recognition (ASR) systems. Although it has been explored through numerous …

Speech-to-text applications have great potential for helping students with English language
comprehension and pronunciation practice. This study explores the functionality of five …