Queen Margaret University logo
    • Login
    View Item 
    •   QMU Repositories
    • eResearch
    • School of Health Sciences
    • CASL
    • View Item
    •   QMU Repositories
    • eResearch
    • School of Health Sciences
    • CASL
    • View Item
    JavaScript is disabled for your browser. Some features of this site may not work without it.

    Comparison of forced-alignment speech recognition and humans for generating reference VAD

    View/Open
    4422.pdf (242.1Kb)
    Date
    2015
    Author
    Kraljevski, I.
    Tan, Z-H
    Bissiri, Maria Paola
    Metadata
    Show full item record
    Citation
    Kraljevski, I., Tan, Z. & Bissiri, M. (2015) Comparison of forced-alignment speech recognition and humans for generating reference VAD, Proceedings of the Annual Conference of the International Speech Communication Association, INTERSPEECH, , , pp. 2937-2941,
    Abstract
    This present paper aims to answer the question whether forced-alignment speech recognition can be used as an alternative to humans in generating reference Voice Activity Detection (VAD) transcriptions. An investigation of the level of agreement between automatic/manual VAD transcriptions and the reference ones produced by a human expert was carried out. Thereafter, statistical analysis was employed on the automatically produced and the collected manual transcriptions. Experimental results confirmed that forced-alignment speech recognition can provide accurate and consistent VAD labels.
    URI
    http://www.isca-speech.org/archive/interspeech_2015/papers/i15_2937.pdf
    URI
    https://eresearch.qmu.ac.uk/handle/20.500.12289/4422
    Collections
    • CASL

    Queen Margaret University: Research Repositories
    Accessibility Statement | Repository Policies | Contact Us | Send Feedback | HTML Sitemap

     

    Browse

    All QMU RepositoriesCommunities & CollectionsBy YearBy PersonBy TitleBy QMU AuthorBy Research CentreThis CollectionBy YearBy PersonBy TitleBy QMU AuthorBy Research Centre

    My Account

    LoginRegister

    Queen Margaret University: Research Repositories
    Accessibility Statement | Repository Policies | Contact Us | Send Feedback | HTML Sitemap