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

Abstract

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.

Conference

Publication date: September 1995

Publication date (Print): September 1995

Pages: 1-22

Affiliations

[† ]Computer Laboratory, University of Cambridge

Cambridge, CB2 3QG, U.K.

[‡ ]Engineering Department, University of Cambridge

Cambridge, CB2 1PZ, U.K.

Article

DOI: 10.14236/ewic/MIRO1995.7

Copyright statement: © 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

License:

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/

Conference name: Proceedings of the Final Workshop on Multimedia Information Retrieval (Miro '95)

Conference acronym: MIRO

Conference number:

Conference location: Glasgow, Scotland

Conference date: 18-20 September 1995

Conference sponsor: Electronic Workshops in Computing (eWiC)

Conference theme: Multimedia Information Retrieval

Product

Product Information: 1477-9358BCS Learning & Development

Self URI (article page): https://www.scienceopen.com/hosted-document?doi=10.14236/ewic/MIRO1995.7

Self URI (journal page): https://ewic.bcs.org/

Categories

Series title: Electronic Workshops in Computing