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Keyword spotting is the task of identifying the occurrences of certain desired keywords in an arbitrary speech signal. Keyword spotting has many applications one of them is telephone routing. In particular, we consider a big company which receives thousands of telephone calls daily. We are interested with the
This paper proposes a set of approaches to automatically extract key terms from spoken course lectures including audio signals, ASR transcriptions and slides. We divide the key terms into two types: key phrases and keywords and develop different approaches to extract them in order. We extract key phrases using right
The aim of the spoken term detection task is to find the occurrence of user-entered keywords in an archive of audio recordings. The kind of techniques that are used usually are vocabulary-independent, using only the acoustic information available. In this scenario, however, we rely exclusively on the acoustic model
A method to automatically annotate video items with semantic metadata is presented. The method has been developed in the context of the Papyrus project to annotate documentary- like broadcast videos with a set of relevant keywords using automatic speech recognition (ASR) transcripts as a primary complementary resource
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