Accessing Information in Spoken Audio April 19-20, 1999 Cambridge, UK

Prediction of keyword spotting performance based on phonemic contents

David A. van Leeuwen (1), Wessel Kraaij (2), and Rudie Ekkelenkamp (2)

(1) TNO - Human Factors Research Institute, Soesterberg, The Netherlands
(2) TNO-TPD, Delft, The Netherlands

In word spotting, one of the main difficulties is the false alarms, especially for small words. A model is presented for predicting the false alarm rate on the basis of the phonemic content of a word. This model is tested for a word spotter that has been used in the TREC Spoken Document Retrieval (SDR) track. Finally, results are presented for the retrieval task.

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Bibliographic reference.  Leeuwen, David A. van / Kraaij, Wessel / Ekkelenkamp, Rudie (1999): "Prediction of keyword spotting performance based on phonemic contents", In Access-Audio-1999, 73-77.