Abstract
We have developed a music retrieval system that receives a humming query and finds similar audio intervals (segments) in a musical audio database. This system enables a user to retrieve a segment of a desired musical audio signal just by singing its melody. In this paper, we propose a method to summarize the music database through similarity analysis to thereby reduce the retrieval time. The distance of chroma vectors is used as a similarity measure. The key technique for summarization includes, mainly, a statistical smoothing method and a method of discriminant analysis. Practical experiments were conducted using 115 musical audio selections in the RWC popular music database. We report the summarization ratio as about 45%.
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Hashiguchi, H. (2008). Visualizing Similarity among Estimated Melody Sequences from Musical Audio. In: Tsubaki, H., Yamada, S., Nishina, K. (eds) The Grammar of Technology Development. Springer, Tokyo. https://doi.org/10.1007/978-4-431-75232-5_15
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DOI: https://doi.org/10.1007/978-4-431-75232-5_15
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Publisher Name: Springer, Tokyo
Print ISBN: 978-4-431-75231-8
Online ISBN: 978-4-431-75232-5
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