Lately, lot of work has been done in the area of content-based audio classification. In this paper we experiment on audio classification between sports and news broadcasts using the Average Magnitude Difference Function as the feature extractor and an LVQ1 neural network as classifier. The method proves robust and the results are reliable and could be further utilized in an automated web classifier.
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References
N. Adami, A. Bugatti, R. Leonardi, P. Migliorati: Low Level Processing of Audio and Video Information for Extracting the Semantics of Content. IEEE Fourth Workshop on Multimedia Signal Processing, 2001
E. Dellandria, P. Makris, N. Vincent,: Inner structure computation for audio signal analysis. Proceedings of the 3rd International Symposium on Image and Signal Processing and Analysis, 2003
R. Huang, J. Hansen: Advances in Unsupervised Audio Classification and Segmentation for the Broadcast News and NGSW Corpora. IEEE Transactions on Audio, Speech, and Language Processing, Vol. 14, No. 3, May 2006
Hae Young Kim, Jae Sung Lee, Myung-Whun Sung, Kwang Hyun Kim, Kwang Suk Park: Pitch Detection with Average Magnitude Difference Function Using Adaptive Threshold Algorithm for Estimating Shimmer and Jitter. Proceedings of the 20th Annual Znternational Conference of the ZEEE Engineering in Medicine and Biology Society, Vol. 20, NO 6,1998
N. Nitanda, M. Haseyama, H. Kitajima: Accurate Audio-Segment Classification Using Feature Extraction Matrix. IEEE International Conference on Acoustics, Speech, and Signal Processing, 2005
C. O'Leary, M. Humphrys : Lowering the entry level: Lessons from the Web and the Semantic Web for the World-Wide-Mind. 1st Int. Semantic Web Conf. (ISWC-02)
M. Poulos, S. Papavlasopoulos, G. Bokos: Specific Selection of FFT Amplitudes from Audio Sports and News Broadcasting for Classification Purposes.
M. De Santo, G. Percannella, C. Sansone, M.Vento: Classifying Audio of Movies by a Multi-Expert System. IEEE 11th International Conference on Image Analysis and Processing, 2001.
A. Selamat, S. Omatu,: Web page feature selection and classification using neural networks. Elsevier, Information Sciences—Informatics and Computer Science: An International Journal Vol. 158, No 1, 2004
G. Tzanetakis, M. Chen,: Building Audio Classifiers for Broadcast News Retrieval. 5th International Workshop on Image Analysis for Multimedia Interactive Services, WIAMIS'04
G. Ying, L. Jamiessen, C. Michell: A Probabilistic Approach to AMDF Pitch Detection. Proceedings., Fourth International Conference on Spoken Language, ICSLP'96
Jinjun Wang, Changsheng Xu, Engsiong Chng: Automatic Sports Video Genre Classification using Pseudo-2D-HMM. The 18th International Conference on Pattern Recognition, ICPR'06
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Voulgaris, S., Poulos, M., Kanellopoulos, N., Papavlasopoulos, S. (2009). A Web Classifier for Semantic Classification Between News and Sports Broadcasts. In: Sicilia, MA., Lytras, M.D. (eds) Metadata and Semantics. Springer, Boston, MA. https://doi.org/10.1007/978-0-387-77745-0_30
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DOI: https://doi.org/10.1007/978-0-387-77745-0_30
Publisher Name: Springer, Boston, MA
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