10th Annual Conference of the International Speech Communication Association

Brighton, United Kingdom
September 6-10, 2009

Automatic Topic Detection of Recorded Voice Messages

Caroline Clemens (1), Stefan Feldes (2), Karlheinz Schuhmacher (1), Joachim Stegmann (1)

(1) Deutsche Telekom Laboratories, Germany
(2) T-Systems, Germany

We present an approach to automatic classification of spontaneously spoken voice messages. During overload periods at call-centers customers are offered a call-back at a later time. A speech dialog asks them to describe their concern on a voice box. The identified topics correspond to the supported service categories, which in turn determine the agent group the customer message is routed to. Our multistage classification process includes speech-to-text, stemming, keyword spotting, and categorization. Classifier training and evaluation have been performed with real-life data. Results show promising performance. The pilot will be launched in a field test.

Full Paper

Bibliographic reference.  Clemens, Caroline / Feldes, Stefan / Schuhmacher, Karlheinz / Stegmann, Joachim (2009): "Automatic topic detection of recorded voice messages", In INTERSPEECH-2009, 872-875.