Titlebook: Information Retrieval Techniques for Speech Applications; Anni R. Coden,Eric W. Brown,Savitha Srinivasan Conference proceedings 2002 Sprin

異端邪說2

Clustering of Imperfect Transcripts Using a Novel Similarity Measurearly with respect to video and audio documents. As a result, there is much interest in methods for analyzing transcribed documents from audio and video broadcasts and telephone conversations and messages. The present paper deals with such an analysis by presenting a clustering technique to partition

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Extracting Caller Information from Voicemailevious work in information extraction from speech includes spoken document retrieval and named entity detection. This task differs from the named entity task in that the information we are interested in is a subset of the named entities in the message, and consequently, the need to pick the correct

Hemiplegia

Speech and Hand Transcribed Retrievalollections composed of both speech recognised and ordinary text documents. In previous work, it has been shown that because of recognition errors, ordinary documents are generally retrieved in preference to recognised ones. Means of correcting or eliminating the observed bias is the subject of this

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