SPINDLE: Increasing OER discoverability by improved keyword metadata via automatic speech to text transcription
SPINDLE will create new tools and HTML5 demonstrators to assist content providers (in our case a Media Team) with Open Educational Resource (OER) keyword metadata creation, indexing and display. SPINDLE will create linguistic analysis tools to filter uncommon spoken words from the automatically generated word-level transcriptions that will be obtained using Large Vocabulary Continuous Speech Recognition (LVCSR) software. SPINDLE will use this analysis to generate a keyword corpus for enriching metadata, and to provide scope for indexing inside rich media content using HTML5. Intracontent indexing also allows for the richer scope for the use of associated OER resources, thus turning the tool into a potential auto-remixer.