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https://hdl.handle.net/10356/97783
Title: | A vector-based approach to broadcast audio database indexing and retrieval | Authors: | Wang, Lei Li, Haizhou Chng, Eng Siong |
Keywords: | DRNTU::Engineering::Computer science and engineering | Issue Date: | 2007 | Source: | Wang, 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. | Conference: | IEEE International Conference on Multimedia and Expo (2007 : Beijing, China) | Abstract: | This 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. | URI: | https://hdl.handle.net/10356/97783 http://hdl.handle.net/10220/17345 |
DOI: | 10.1109/ICME.2007.4284699 | Schools: | School of Computer Engineering School of Physical and Mathematical Sciences |
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 http://dx.doi.org/10.1109/ICME.2007.4284699 | Fulltext Permission: | open | Fulltext Availability: | With Fulltext |
Appears in Collections: | SCSE Conference Papers SPMS Conference Papers |
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