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In this work we present an audiovisual approach to the recognition of spontaneous interest in human conversations. For a most robust estimate, information from four sources is combined by a synergistic and individual failure tolerant fusion. Firstly, speech is analyzed with respect to acoustic properties based on a high-dimensional prosodic, articulatory,(More)
We describe ongoing work on sentence summarization in the European MUSA project and the Flemish ATraNoS project. Both projects aim at automatic generation of TV subtitles for hearing-impaired people. This involves speech recognition, a topic which is not covered in this paper, and summarizing sentences in such a way that they fit in the available space for(More)
We compare machine learning approaches for sentence length reduction for automatic generation of subtitles for deaf and hearing-impaired people with a method which relies on hand-crafted deletion rules. We describe building the necessary resources for this task: a parallel corpus of examples of news broadcasts of the Flemish VRT broadcasting corporation ,(More)
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