Abstract
In this paper, we present an efficient approach to detect and tracking the fundamental frequency (F0) from ‘wav’ audio. In general, music F0 and harmonic frequency show the multiple relations; therefore frequency domain analysis can be used to track the F0. The model includes the harmonic frequency probability analysis method and useful pre-post processing for multiple instruments. Thus, the proposed system can efficiently transcribe polyphonic music, while taking into account the probability of F0 and harmonic frequency. The experimental results demonstrate that the proposed system can successful transcribe polyphonic music, achieved the quite advanced level.
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Acknowledgement
This work was supported by the National Natural Science Foundation of China (61672008), Guangdong Provincial Application-oriented Technical Research and Development Special fund project (2016B010127006, 2015B010131017), the Natural Science Foundation of Guangdong Province (2016A030311013, 2015A030313672), and International Scientific and Technological Cooperation Projects of Education Department of Guangdong Province (2015KGJHZ021).
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Li, X. et al. (2019). Knowledge Based Fundamental and Harmonic Frequency Detection in Polyphonic Music Analysis. In: Liang, Q., Mu, J., Jia, M., Wang, W., Feng, X., Zhang, B. (eds) Communications, Signal Processing, and Systems. CSPS 2017. Lecture Notes in Electrical Engineering, vol 463. Springer, Singapore. https://doi.org/10.1007/978-981-10-6571-2_72
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DOI: https://doi.org/10.1007/978-981-10-6571-2_72
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