Annotation of Heterogeneous Multimedia Content Using Automatic Speech Recognition

@inproceedings{Huijbregts2007AnnotationOH,
  title={Annotation of Heterogeneous Multimedia Content Using Automatic Speech Recognition},
  author={Marijn Huijbregts and Roeland Ordelman and Franciska de Jong},
  booktitle={SAMT},
  year={2007}
}
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. 
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