Mining Scalar Representations in a Non-tagged Music Database
- Cite this paper as:
- Lewis R.A., Jiang W., Raś Z.W. (2008) Mining Scalar Representations in a Non-tagged Music Database. In: An A., Matwin S., Raś Z.W., Ślęzak D. (eds) Foundations of Intelligent Systems. ISMIS 2008. Lecture Notes in Computer Science, vol 4994. Springer, Berlin, Heidelberg
In the continuing investigation of the relationship between music and emotions it is recognized that MPEG-7 based MIR systems are the state-of-the-art. Also, it is known that non-temporal systems are diametrically unconducive to pitch analysis, an imperative for key and scalar analysis which determine emotions in music. Furthermore, even in a temporal MIR system one can only find the key if the scale is known or vice-versa, one can only find the scale if the key is known. We introduce a new MIRAI-based decision-support system that, given a blind database of music files, can successfully search for both the scale and the key of an unknown song in a music database and accordingly link each song to its set of scales and possible emotional states.
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