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Bose-Einstein distribution has recently found its application outside the realm of describing the energy level occupation of Bosons. Such applications are frequent in text and speech related fields. In this study, a statistical method based on Bose-Einstein distribution has been applied to find a new parameter (equivalent to ‘temperature’ in physical systems) to distinguish between different features of different ragas in Hindustani classical music. A rank-frequency distribution of the time durations of various notes occurring in different ragas are studied to obtain this parameter, unprecedented in any previous studies, which is a result of the analogy between the rank-frequency distribution and the quantum Bose distribution. This novel method of analysis is applied on different Raga renditions. The results found shed new lights on the characterization of different ragas and their performances across different eras and artists.
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