Query by Tapping is an emerging paradigm for content-based music retrieval, which we have explored through our web-based music search system. Based on the results obtained from our system we argue that searching for music by tapping the rhythm of a song's melody is intuitive and effective. In this paper we describe two novel algorithms to analyze tapping input. We present results indicating good accuracy rates among a broad spectrum of both trained and untrained users. Query by tapping has an important potential as a form of human-computer communication. We indicate how our algorithms to analyze tapping might be used in other areas such as music education and user authentication. © 2006 Springer-Verlag Berlin/Heidelberg.
CITATION STYLE
Peters, G., Cukierman, D., Anthony, C., & Schwartz, M. (2006). Online music search by tapping. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 3864 LNAI, pp. 178–197). https://doi.org/10.1007/11825890_9
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