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

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

Design of a 10 Credit Masters Level Assistive Technologies and Universal Design Module

The paper reports on the design and evaluation of a 10 credit module that has been designed and taught for the first to 35 full time Computer science and software engineering Masters student

Differential temperature transducer Patent

Differential thermopile for measuring cooling water temperature ris

Captioning Multiple Speakers using Speech Recognition to Assist Disabled People

Meetings and seminars involving many people speaking can be some of the hardest situations for deaf people to be able to follow what is being said and also for people with physical, visual or cognitive disabilities to take notes or remember key points. People may also be absent during important interactions or they may arrive late or leave early. Real time captioning using phonetic keyboards can provide an accurate live as well as archived transcription of what has been said but is often not available because of the cost and shortage of highly skilled and trained stenographers. 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. 1 Introductio

Concurrent collaborative captioning

Captioned text transcriptions of the spoken word can benefit hearing impaired people, non native speakers, anyone if no audio is available (e.g. watching TV at an airport) and also anyone who needs to review recordings of what has been said (e.g. at lectures, presentations, meetings etc.) In this paper, a tool is described that facilitates concurrent collaborative captioning by correction of speech recognition errors to provide a sustainable method of making videos accessible to people who find it difficult to understand speech through hearing alone. The tool stores all the edits of all the users and uses a matching algorithm to compare users’ edits to check if they are in agreement

Synote: Designed for all Advanced Learning Technology for Disabled and Non-Disabled People

This paper describes the development and evaluation of Synote, a freely available accessible web based application that makes multimedia web resources (e.g. podcasts) easier to access, search, manage, and exploit for all learners, teachers and other users through the creation of accessible notes, bookmarks, tags, links, images and text captions synchronized to any part of the recording

Synote: Multimedia Annotation ‘Designed for all'

This paper describes the development and evaluation of Synote, a freely available web based application that makes multimedia web resources (e.g. podcasts) easier to access, search, manage, and exploit for all learners, teachers and other users through the creation of notes, bookmarks, tags, links, images and text captions synchronized to any part of the recording. Synote uniquely enables users to easily find, or associate their notes or resources with any part of a podcast or video recording available on the web and the students surveyed would like to be able to access all their lectures through Synot