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Experiments in spoken document retrieval
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DOI：10.1016/0306-4573(95)00077-1.png)
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Abstract
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This paper describes experiments in the retrieval of spoken documents in multimedia systems. Speech documents pose a particular problem for retrieval since their words as well as contents are unknown. The work reported addresses this problem, for a video mail application, by combining state of the art speech recognition with established document retrieval technologies so as to provide an effective and efficient retrieval tool. Tests with a small spoken message collection show that retrieval precision for the spoken file can reach 90% of that obtained when the same file is used, as a benchmark, in text transcription form. Copyright (C) 1996 Elsevier Science Ltd
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