This article presents a research methodology for audio–visual speech recognition (AVSR) in
driver assistive systems. These systems necessitate ongoing interaction with drivers while …

Speech emotion recognition plays a crucial role in human-computer interactions. However,
most speech emotion recognition research is biased toward English-speaking adults, which …

Significant progress has been made on Indonesian NLP. Nevertheless, exploration of the
code-mixing phenomenon in Indonesian is limited, despite many languages being …

Inspired by humans comprehending speech in a multi-modal manner, various audio-visual
datasets have been constructed. However, most existing datasets focus on English …

Abstract Automatic Speech Recognition (ASR) systems are instrumental across various
applications, with their performance being critically tied to user satisfaction. Conventional …

Automatic speech recognition (ASR) outcomes serve as input for downstream tasks,
substantially impacting the satisfaction level of end-users. Hence, the diagnosis and …

Audio-visual speech recognition (AVSR) gains increasing attention as an important part of
human-machine interaction. However, the publicly available corpora are limited, particularly …

Automatic speech recognition (ASR) on low resource languages improves the access of
linguistic minorities to technological advantages provided by artificial intelligence (AI). In this …

Expanding Internet connectivity has had tremendous influence on people's everyday life,
since they do everything on their phones and laptops [1]. Several items have been …

Lip‐reading deciphers speech by observing lip movements without relying on audio data.
The rapid advancements in deep learning have significantly improved lip‐reading for both …