Abstract
If P(E) is the probability of an event, the information content of the event E is defined as I(E) = −log2(P(E)). Events with lower probability will signal higher information content when they occur. The probability of a raga note, and hence its information content, depends on the raga concerned. The important raga notes will obviously be having higher probabilities. On the other hand, a weak note in a raga cannot be thrown away either for it would be carrying more surprise! The strength of entropy analysis lies here (entropy is the mean information content of a random variable).
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Chakraborty, S., Mazzola, G., Tewari, S., Patra, M. (2014). Raga Analysis Using Entropy. In: Computational Musicology in Hindustani Music. Computational Music Science. Springer, Cham. https://doi.org/10.1007/978-3-319-11472-9_6
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DOI: https://doi.org/10.1007/978-3-319-11472-9_6
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