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      Video Mail Retrieval using Voice: An Overview of the Stage 2 System

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      Proceedings of the Final Workshop on Multimedia Information Retrieval (Miro '95) (MIRO)

      Multimedia Information Retrieval

      18-20 September 1995

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          This paper outlines the Video Mail Retrieval (VMR) project at Cambridge University. The goal of the VMR project is to develop an application for the retrieval of spoken documents in multimedia systems. Speech documents pose a particular problem for retrieval since the contents are unknown. The VMR project seeks to address this problem by combining state-of-the-art speech recognition with established document retrieval technologies to provide an effective and efficient retrieval tool. Experimental results with a small spoken message collection show that retrieval precision is somewhat dependent on the generality of the acoustic modelling used. For talker-dependent acoustic modelling retrieval performance is around 95% of that observed when text transcriptions of the same files are used. However, even with incorporation of completely open-user talker-independent acoustic models, retrieval performance of about 75% of text can be obtained.

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          Author and article information

          September 1995
          September 1995
          : 1-22
          []Computer Laboratory, University of Cambridge

          Cambridge, CB2 3QG, U.K.
          []Engineering Department, University of Cambridge

          Cambridge, CB2 1PZ, U.K.
          © G. J. F. Jones et al. Published by BCS Learning and Development Ltd. Proceedings of the Final Workshop on Multimedia Information Retrieval (Miro '95) Glasgow, Scotland

          This work is licensed under a Creative Commons Attribution 4.0 Unported License. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/

          Proceedings of the Final Workshop on Multimedia Information Retrieval (Miro '95)
          Glasgow, Scotland
          18-20 September 1995
          Electronic Workshops in Computing (eWiC)
          Multimedia Information Retrieval
          Product Information: 1477-9358BCS Learning & Development
          Self URI (journal page): https://ewic.bcs.org/
          Electronic Workshops in Computing


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