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http://bura.brunel.ac.uk/handle/2438/2427
Title: | Feature extraction for speech and music discrimination |
Authors: | Zhou, H Sadka, A H Jiang, M |
Issue Date: | 2008 |
Publisher: | IEEE |
Citation: | The Sixth International Workshop on Content-Based Multimedia Indexing. London, UK, 18-20th June, 2008 |
Abstract: | Driven by the demand of information retrieval, video editing and human-computer interface, in this paper we propose a novel spectral feature for music and speech discrimination. This scheme attempts to simulate a biological model using the averaged cepstrum, where human perception tends to pick up the areas of large cepstral changes. The cepstrum data that is away from the mean value will be exponentially reduced in magnitude. We conduct experiments of music/speech discrimination by comparing the performance of the proposed feature with that of previously proposed features in classification. The dynamic time warping based classification verifies that the proposed feature has the best quality of music/speech classification in the test database. |
URI: | http://bura.brunel.ac.uk/handle/2438/2427 |
Appears in Collections: | Electronic and Electrical Engineering Dept of Electronic and Electrical Engineering Research Papers |
Files in This Item:
File | Description | Size | Format | |
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Feature extraction for speech and music discrimination.pdf | 380.67 kB | Adobe PDF | View/Open |
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