Abstract
This paper presents an approach for assessing the pitch in vocal monophonic music objectively using various signal processing techniques. A database has been collected with 250 recordings containing both arohan and avarohan patterns rendered by 25 different singers for 10 Hindustani classical ragas. The fundamental frequency (F0) values of the user renditions are estimated and analyzed with the original pitch values to quantify the level of variations in pitch initially the five-point moving window has been considered to smoothen the contour. Later, first order and second order differential techniques are applied to estimate the note onset. This process is computationally economical when compared with the available approaches. The technique of cents has been used to evaluate the variation among the target and singing pitch as cent is a unit of the most common tuning system for quantifying intonation in equal tempered music. From this analysis, it is observed that singers with professional training have deviations within 15–20 cents, and non-musicians have deviations above 50 cents. Five expert singers rated the global pitch accuracy from the recordings and these results were found to exhibit high correlation with the system’s assessments. Such an evaluation system with quantitative analysis coupled with visual representation will greatly aid the training process of singers.
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References
Larrouy-Maestri, P., Lévêque, Y., Schön, D., Giovanni, A., Morsomme, D.: The evaluation of singing voice accuracy: a comparison between subjective and objective methods. J. Voice 27, 259-e1 (2013)
Lal, P.: A comparison of singing evaluation algorithms. In: INTERSPEECH (2006)
McLeod, P., Wyvill, G.: Visualization of musical pitch. In: Computer Graphics International, vol. 2003 (2003)
Kasi, K., Zahorian, S.A.: Yet another algorithm for pitch tracking. In: Acoustics, Speech, and Signal Processing (ICASSP), vol. 1, pp. I–361. IEEE (2002)
Hanžl, J.B.V.: Comparing pitch detection algorithms for voice applications
McLeod, P., Wyvill, G.: A smarter way to find pitch. In: Proceedings of International Computer Music Conference (2005)
Serra, J., Koduri, G.K., Miron, M., Serra, X.: Assessing the tuning of sung Indian classical music. In: ISMIR, pp. 157–162 (2011)
Camacho, A., Harris, J.G.: A sawtooth waveform inspired pitch estimator for speech and music. J. Acoust. Soc. Am. 124, 1638–1652 (2008)
Datta, A., Sengupta, R., Dey, N.: Objective analysis of srutis from the vocal performances of Hindustani music using clustering algorithm. EUNOMIOS Open Online J. Theory Anal. Semiot. Music 25 (2011)
Larrouy-Maestri, P., Dominique, M.: Criteria and tools for objectively analysing the vocal accuracy of a popular song. Logop. Phoniatr. Vocology 39, 11–18 (2014)
Larrouy-Maestri, P., Magis, D., Morsomme, D.: The evaluation of vocal pitch accuracy. Music Percept. Interdiscip. J. 32, 1–10 (2014)
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Biswas, R., Murthy, Y.V.S., Koolagudi, S.G., Vishnu, S.G. (2020). Objective Assessment of Pitch Accuracy in Equal-Tempered Vocal Music Using Signal Processing Approaches. In: Elçi, A., Sa, P., Modi, C., Olague, G., Sahoo, M., Bakshi, S. (eds) Smart Computing Paradigms: New Progresses and Challenges. Advances in Intelligent Systems and Computing, vol 766. Springer, Singapore. https://doi.org/10.1007/978-981-13-9683-0_17
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DOI: https://doi.org/10.1007/978-981-13-9683-0_17
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