‘SpeechText’: Enhancing Learning and Teaching by Using Automatic Speech Recognition to Create Accessible Synchronised Multimedia

Abstract

Although multimedia materials have become technically easier to create and offer many benefits for learning and teaching, they can be difficult to access, manage, and exploit. This paper explains how automatic speech recognition can enhance the quality of learning and teaching and help ensure e-learning is accessible to all through the cost-effective production of synchronised and captioned multimedia. This approach can: support preferred learning and teaching styles and assist those who, for cognitive, physical or sensory reasons, find notetaking difficult; assist learners to manage and search online digital multimedia resources; provide automatic captioning of speech for deaf learners, or for any learner when speech is not available or suitable; assist blind, visually impaired or dyslexic learners to read and search learning material more readily by augmenting synthetic speech with natural recorded real speech; and assist reflection by teachers and learners to improve their spoken communication skills.

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