Annotation of Heterogeneous Multimedia Content Using Automatic Speech Recognition

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.

• Type: Conference
• Year: 2007
• Where: SAMT
• Authors: Marijn Huijbregts, Roeland Ordelman, Franciska de Jong
• Keywords: Dutch Real-life Archive, Real-life Media Collections, Robust Speech Recognition, SAMT 2007