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dc.contributor.authorWang, Leien
dc.contributor.authorLi, Haizhouen
dc.contributor.authorChng, Eng Siongen
dc.identifier.citationWang, L., Li, H., & Chng, E. S. (2007). A vector-based approach to broadcast audio database indexing and retrieval. 2007 IEEE International Conference on Multimedia and Expo, pp512-515.en
dc.description.abstractThis paper proposes a novel framework to index and retrieve audio content from broadcast database that contains both speech and music. In this framework, we model the acoustic events using hidden Markov models, which are then used to decode the audio content. The decoding results in the form of acoustic token sequence and acoustic lattice are used to generate features for indexing and retrieval with the vector space model. Experiments were carried out on the TRECVID database and the results showed that the proposed framework is effective in audio information retrieval. The results also showed that the features generated from the acoustic lattice provide more accurate information than token sequence.en
dc.rights© 2007 IEEE. 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. Published version of this article is available at
dc.subjectDRNTU::Engineering::Computer science and engineeringen
dc.titleA vector-based approach to broadcast audio database indexing and retrievalen
dc.typeConference Paperen
dc.contributor.schoolSchool of Computer Engineeringen
dc.contributor.schoolSchool of Physical and Mathematical Sciencesen
dc.contributor.conferenceIEEE International Conference on Multimedia and Expo (2007 : Beijing, China)en
dc.description.versionAccepted versionen
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