Retrieving radio news broadcasts in Danish: accuracy and categorization of unrecognized words

Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

Morten Hertzum, Haakon Lund, Rasmus Troelsgård

Digital archives of radio news broadcasts can possibly be made searchable by combining speech recognition with information retrieval. We explore this possibility for the retrieval of news broadcasts in Danish. An average of 84% of the words in the broadcasts was recognized. Most of the unrecognized words were compounds, names, and other words that appear of value to retrieval. Thus, the set of words describing a broadcast has to be expanded to compensate for the recognition errors. We discuss doing this by exploiting the alternative matches from the speech recognizer and by extracting words from a related corpus
Original languageEnglish
Title of host publicationOzCHI'16 : The 28th Australian Conference on Compute-Human Interaction
Number of pages5
Place of PublicationNew York
Publication date2016
ISBN (Electronic)978-1-4503-4618-4
Publication statusPublished - 2016
EventAustralian Conference on Human-Computer Interaction - Launceston, Australia
Duration: 29 Nov 20162 Dec 2016
Conference number: 28


ConferenceAustralian Conference on Human-Computer Interaction

ID: 168296307