Keyword Spotting Enhancement for Video Sountrack Indexing

Multimedia databases contain an increasing amount of videos that are hardly semantically accessed. Among the useful indices that can be extracted from the sound track, the presence of a keyword at some place plays a prominent role. This paper deals with the specificities of such a keyword spotter and the enhancement brought to our previous technique, [1] based on frame labeling. To be useful, such a keyword spotter has to be speaker independent. Moreover it has to be able to detect any word out of an open vocabulary. This directly implies the use of a phonemic representation of the word. These constraints usually lead to an excessively time consuming tool. The division of the indexing process into two parts, the first one off-line, the second one at the query time, allows a faster response.