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Abstract
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 language | English |
|---|---|
| Title of host publication | OzCHI'16 : The 28th Australian Conference on Compute-Human Interaction |
| Number of pages | 5 |
| Place of Publication | New York |
| Publisher | ACM |
| Publication date | 29 Nov 2016 |
| Pages | 160-164 |
| ISBN (Electronic) | 978-1-4503-4618-4 |
| DOIs | |
| Publication status | Published - 29 Nov 2016 |
| Event | Australian Conference on Human-Computer Interaction - Launceston, Australia Duration: 29 Nov 2016 → 2 Dec 2016 Conference number: 28 http://www.ozchi.org/2016/index.html |
Conference
| Conference | Australian Conference on Human-Computer Interaction |
|---|---|
| Number | 28 |
| Location | Launceston |
| Country/Territory | Australia |
| Period | 29/11/2016 → 02/12/2016 |
| Internet address |
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Australian Conference on Human-Computer Interaction
Lund, H. (Speaker)
30 Nov 2016Activity: Participating in or organising an event types › Participation in workshop, seminar, course