Review of speech-to-text recognition technology for enhancing learning

R Shadiev, WY Hwang, NS Chen, YM Huang - Journal of Educational …, 2014 - JSTOR
This paper reviewed literature from 1999 to 2014 inclusively on how Speech-to-Text
Recognition (STR) technology has been applied to enhance learning. The first aim of this …

Exploration of automatic speech recognition for deaf and hard of hearing students in higher education classes

J Butler, B Trager, B Behm - Proceedings of the 21st International ACM …, 2019 - dl.acm.org
Automatic speech recognition (ASR) programs that generate real-time speech-to-text
captions can be provided as supplemental access technologies for deaf and hard of hearing …

Can voice assistants be microaggressors? Cross-race psychological responses to failures of automatic speech recognition

K Wenzel, N Devireddy, C Davison… - Proceedings of the 2023 …, 2023 - dl.acm.org
Language technologies have a racial bias, committing greater errors for Black users than for
white users. However, little work has evaluated what effect these disparate error rates have …

Investigating student attention, meditation, cognitive load, and satisfaction during lectures in a foreign language supported by speech-enabled language translation

R Shadiev, YM Huang - Computer Assisted Language Learning, 2020 - Taylor & Francis
In this study, we applied speech-enabled language translation (SELT) during lectures in a
foreign language. The SELT program received input from the instructor's speech and …

Facilitating cross-cultural understanding with learning activities supported by speech-to-text recognition and computer-aided translation

R Shadiev, YM Huang - Computers & Education, 2016 - Elsevier
We designed and implemented cross-cultural learning activities for this study. Participants
from two countries, geographically located very far from each other, represented different …

Using speech recognition for real-time captioning and lecture transcription in the classroom

R Ranchal, T Taber-Doughty, Y Guo… - IEEE Transactions …, 2013 - ieeexplore.ieee.org
Speech recognition (SR) technologies were evaluated in different classroom environments
to assist students to automatically convert oral lectures into text. Two distinct methods of SR …

Enhancing learning performance, attention, and meditation using a speech-to-text recognition application: Evidence from multiple data sources

R Shadiev, TT Wu, YM Huang - Learning Analytics, 2018 - taylorfrancis.com
In this study, we provide STR-texts to non-native English speaking students during English
lectures to facilitate learning, attention, and meditation. We carry out an experiment to test …

Exploring augmented reality approaches to real-time captioning: A preliminary autoethnographic study

D Jain, B Chinh, L Findlater, R Kushalnagar… - Proceedings of the …, 2018 - dl.acm.org
We explore an augmented reality (AR) approach to real-time captioning for people who are
deaf and hard of hearing. In contrast to traditional captioning, which uses an external, fixed …

Who's who in Gnome: Using LSA to merge software repository identities

E Kouters, B Vasilescu, A Serebrenik… - 2012 28th IEEE …, 2012 - ieeexplore.ieee.org
Understanding an individual's contribution to an ecosystem often necessitates integrating
information from multiple repositories corresponding to different projects within the …

Intercultural competence development through a tele‐collaborative project supported by speech‐enabled corrective feedback technology

R Shadiev, Y Feng, R Zhussupova… - Journal of Computer …, 2024 - Wiley Online Library
Background Tele‐collaborative projects serve as invaluable platforms for students from
diverse countries to engage in cross‐cultural communication and exchange cultural …