Abstract
This article proposes the fusion matching method for polyphonic music feature database which are extracted from music signal. The best way looking for the song is the tag based retrieval method using metadata like title, singer, lyrics, etc. This is very convenient and powerful way if you have already known about information of contents what you are looking for. But if you do not have any information of the contents, contents based query method might be a plan-B. Query by Singing/Humming (QbSH) is the powerful tool and the best supplemental method looking for song or music over the internet or among huge database. This topic has been researched for a so long time with various solutions. But, there have not been any outstanding solution so far. So we propose the fusion matching method with three matchers against polyphonic music signal in order to improve matching performance. Proposed method is based on Dynamic Time Warp (DTW), Linear Scaling (LS) and Quantized Binary Code (QBcode) and then combines them with fusion score based PRODUCT rule.
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References
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© 2011 Springer Science+Business Media B.V.
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Song, CJ., Lee, SP., Seo, KH., Park, K.R. (2011). The Fusion Matching Method for Polyphonic Music Feature Database. In: Park, J., Arabnia, H., Chang, HB., Shon, T. (eds) IT Convergence and Services. Lecture Notes in Electrical Engineering, vol 107. Springer, Dordrecht. https://doi.org/10.1007/978-94-007-2598-0_38
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DOI: https://doi.org/10.1007/978-94-007-2598-0_38
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