An exploration of the potential of Automatic Speech Recognition to assist and enable receptive communication in higher education

Abstract

The potential use of Automatic Speech Recognition to assist receptive communication is explored. The opportunities and challenges that this technology presents students and staff to provide captioning of speech online or in classrooms for deaf or hard of hearing students and assist blind, visually impaired or dyslexic learners to read and search learning material more readily by augmenting synthetic speech with natural recorded real speech is also discussed and evaluated. The automatic provision of online lecture notes, synchronised with speech, enables staff and students to focus on learning and teaching issues, while also benefiting learners unable to attend the lecture or who find it difficult or impossible to take notes at the same time as listening, watching and thinking.DOI: 10.1080/09687760500479977

Synote: Accessible and Assistive Technology Enhancing Learning for All Students

“…Speech recognition has been demonstrated to provide a cost-effective way of automatically creating accessible text captions and transcripts synchronised with audio and video and so allowing audio visual material to be manipulated through searching and browsing the text [5]. Although real-time captioning using phonetic keyboards can provide an accurate live transcription for deaf people, it is often not available because of the cost and shortage of highly skilled and trained stenographers [6]. Real-time SR is required for deaf and hard of hearing students and non native speakers whereas non real-time SR may often suffice for others and will provide more time for processing allowing for more accurate methods of SR to be used.…”

Enhancing the Usability of Real-Time Speech Recognition Captioning Through Personalised Displays and Real-Time Multiple Speaker Editing and Annotation

“…creating a live verbatim transcript of what is being spoken) using phonetic keyboards can provide a live transcription for deaf people and can cope accurately (e.g. >98%) with people talking at up to 240 words per minute but is often not available because of the cost and shortage of highly skilled and trained stenographers [1] [2]. This paper describes the development of applications that use speech recognition to provide automatic text transcriptions.…”

Captioning Multiple Speakers Using Speech Recognition to Assist Disabled People

“…Real time captioning using phonetic keyboards can provide a live as well as archived transcription of what has been said and can cope accurately (e.g. >98%) with people talking at up to 240 words per minute but is often not available because of the cost and shortage of highly skilled and trained stenographers [1] [2]. This paper describes the development of applications that use speech recognition to provide automatic real time text transcriptions in situations when there can be many people speaking.…”