The continuous development in Automatic Speech Recognition has grown and
demonstrated its enormous potential in Human Interaction Communication systems. It is …

In the past twenty years, voice-based systems have emerged as a technology with high
usability and accessibility. Research in the field of Human-Computer Interaction (HCI) has …

To address the performance gap of English ASR models on L2 English speakers, we
evaluate fine-tuning of pretrained wav2vec 2.0 models (Baevski et al., 2020; Xu et al., 2021) …

Despite the recent advancements in Automatic Speech Recognition (ASR), the recognition
of accented speech still remains a dominant problem. In order to create more inclusive ASR …

ASR systems designed for native English (L1) usually underperform on non-native English
(L2). To address this performance gap,(1) we extend our previous work to investigate fine …

Owing to the linguistic richness of the Arabic language, which contains more than 6000
roots, building a reliable Arabic language model for Arabic speech recognition systems …

This paper presents a novel approach to addressing the often-overlooked issue of
pronunciation instruction in language learning through a Computer-Assisted Pronunciation …

This survey considers the vision of TV broadcasting where content is personalised and
personalisation is data-driven, looks at the AI and data technologies making this possible …

The rising development in information and communication technology affected the rapid
presence of new interface designs to meet the needs of user interaction. This includes the …

In Ghana people who struggle to articulate speech as a result of different conditions
experience barriers in interacting with others due to difficulties in being understood …