Quality control analysts in customer service call centers often search for keywords in call transcripts. Their searches can return an overwhelming number of false positives when the search terms also appear in advertisements that customers hear while they are on hold. This paper presents new methods for detecting advertisements in audio data, so that they can be filtered out. In order to be usable in real-world applications, our methods are designed to minimize human intervention after deployment. Even so, they are much more accurate than a baseline HMM method.
Bibliographic reference. Melamed, I. Dan / Kim, Yeon-Jun (2009): "Automatic detection of audio advertisements", In INTERSPEECH-2009, 1511-1514.