Annotation of Heterogeneous Multimedia Content Using Automatic Speech Recognition

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This paper reports on the setup and evaluation of robust speech recognition system parts, geared towards transcript generation for heterogeneous, real-life media collections. The system is deployed for generating speech transcripts for the NIST/TRECVID-2007 test collection, part of a Dutch real-life archive of news-related genres. Performance ﬁgures for this type of content are compared to ﬁgures for broadcast news test data.

Marijn Huijbregts, Roeland Ordelman, Franciska de

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Dutch Real-life Archive | Real-life Media Collections | Robust Speech Recognition | SAMT 2007 |

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Added	09 Jun 2010
Updated	09 Jun 2010
Type	Conference
Year	2007
Where	SAMT
Authors	Marijn Huijbregts, Roeland Ordelman, Franciska de Jong

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Annotation of Heterogeneous Multimedia Content Using Automatic Speech Recognition

Dutch Real-life Archive | Real-life Media Collections | Robust Speech Recognition | SAMT 2007 |

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