|Department of Engineering|
|University of Cambridge > Engineering Department > Machine Intelligence Lab|
KEYWORD TRAINING USING A SINGLE SPOKEN EXAMPLE FOR APPLICATIONS IN AUDIO DOCUMENT RETRIEVAL
Kate Knill and Steve Young
An open keyword vocabulary word-spotting system is described for audio document retrieval. To model each keyword, an N-Best recogniser is used to hypothesise the keyword's phonetic transcription based on a single spoken example. The system is evaluated on a database of spoken messages and performance is found to be comparable with that obtained using pronunciations taken from a dictionary.
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