Automatic topic detection strategy for information retrieval in spoken document

Jin, S., Misra, H., Sikora, T. and Jose, J.M. (2009) Automatic topic detection strategy for information retrieval in spoken document. In: 10th International Workshop on Image Analysis for Multimedia Interactive Services, London, 6-8 May 2009,

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Abstract

This paper suggests an alternative solution for the task of spoken document retrieval (SDR). The proposed system runs retrieval on multi-level transcriptions (word and phone) produced by word and phone recognizers respectively, and their outputs are combined. We propose to use latent Dirichlet allocation (LDA) model for capturing the semantic information on word transcription. The LDA model is employed for estimating topic distribution in queries and word transcribed spoken documents, and the matching is performed at the topic level. Acoustic matching between query words and phonetically transcribed spoken documents is performed using phone-based matching algorithm. The results of acoustic and topic level matching methods are compared and shown to be complementary.

Item Type:Conference Proceedings
Additional Information:Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
Status:Published
Refereed:Yes
Glasgow Author(s) Enlighten ID:Jose, Professor Joemon and Misra, Dr Hemant
Authors: Jin, S., Misra, H., Sikora, T., and Jose, J.M.
Subjects:Q Science > QA Mathematics > QA75 Electronic computers. Computer science
College/School:College of Science and Engineering > School of Computing Science
Copyright Holders:Copyright © 2009, IEEE.
First Published:First published in proceedings of the 10th International Workshop on Image Analysis for Multimedia Interactive Services
Publisher Policy:Reproduced in accordance with the copyright policy of the publisher.

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