An analysing tool to facilitate the evaluation process of automatic lecture transcriptions

Miltiades Papadopoulos, Elaine Pearson

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    Abstract

    The traditional lecture remains the most common method of teaching, despite growing criticism of its efficiency. This paper responds to the challenge of meeting the needs and access requirements of students with disabilities by facilitating further adaptations in the learning environment. The aim of this work is to improve the accessibility and flexibility of the traditional lecture, utilising Speech Recognition technology, with minimal investment in time and effort by academic staff. It is based on the premise that lecture transcriptions can act as an alternative to traditional note taking and enable students to concentrate on learning. The paper introduces a tool, which facilitates the evaluation of the validity of transcription files, produced by Automatic Speech Recognition (ASR) software, in real lecture situations. The tool aims to provide an easy way for academics to create lecture transcriptions that can be provided to students in a meaningful, accessible and usable way.
    Original languageEnglish
    Title of host publicationProceedings of world conference on e-learning in corporate, government, healthcare, and higher education :
    EditorsT Dron, C Xin
    Place of PublicationChesapeake
    PublisherAssociation for the Advancement of Computing in Education
    Pages189-2198
    ISBN (Print)1880094762
    Publication statusPublished - 2009
    EventWorld Conference on e-Learning in Corporate, Government, Healthcare and Higher Education 2009 - Vancouver, Canada
    Duration: 26 Oct 200926 Oct 2009

    Conference

    ConferenceWorld Conference on e-Learning in Corporate, Government, Healthcare and Higher Education 2009
    Abbreviated titleELEARN 2009
    CountryCanada
    CityVancouver
    Period26/10/0926/10/09

    Fingerprint Dive into the research topics of 'An analysing tool to facilitate the evaluation process of automatic lecture transcriptions'. Together they form a unique fingerprint.

  • Cite this

    Papadopoulos, M., & Pearson, E. (2009). An analysing tool to facilitate the evaluation process of automatic lecture transcriptions. In T. Dron, & C. Xin (Eds.), Proceedings of world conference on e-learning in corporate, government, healthcare, and higher education : (pp. 189-2198). Association for the Advancement of Computing in Education.