Prediction of Keyword Spotting Performance Based on Phonemic Contents
نویسندگان
چکیده
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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