|Título||An evaluation of methodologies for melodic similarity in audio recordings of Indian art music|
|Publication Type||Conference Paper|
|Year of Publication||2015|
|Authors||Gulati S, Serrà J, Serra X|
|Conference Name||IEEE Int. Conf. on Acoustics, Speech, and Signal Processing (ICASSP)|
|Conference Location||Brisbane, Australia|
We perform a comparative evaluation of methodologies for computing similarity between short-time melodic fragments of audio recordings of Indian art music. We experiment with 560 different combinations of procedures and parameter values. These include the choices made for the sampling rate of the melody representation, pitch quantization levels, normalization techniques and distance measures. The dataset used for evaluation consists of 157 and 380 annotated melodic fragments of Carnatic and Hindustani music recordings, respectively. Our results indicate that melodic fragment similarity is particularly sensitive to distance measures and normalization techniques. Furthermore, melodic fragment similarity in Hindustani music is found to be more challenging than in Carnatic music. Overall, the performed evaluation provides a better understanding of the processing steps and parameter settings for melodic similarity in Indian art music. It paves the way for developing unsupervised melodic pattern discovery approaches, whose evaluation is a challenging and, many times, ill-defined task.
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