Picture of DNA strand

Pioneering chemical biology & medicinal chemistry through Open Access research...

Strathprints makes available scholarly Open Access content by researchers in the Department of Pure & Applied Chemistry, based within the Faculty of Science.

Research here spans a wide range of topics from analytical chemistry to materials science, and from biological chemistry to theoretical chemistry. The specific work in chemical biology and medicinal chemistry, as an example, encompasses pioneering techniques in synthesis, bioinformatics, nucleic acid chemistry, amino acid chemistry, heterocyclic chemistry, biophysical chemistry and NMR spectroscopy.

Explore the Open Access research of the Department of Pure & Applied Chemistry. Or explore all of Strathclyde's Open Access research...

Knowledge based fundamental and harmonic frequency detection in polyphonic music analysis

Li, Xiaoquan and Yan, Yijun and Ren, Jinchang and Zhao, Huimin and Zhao, Sophia and Soraghan, John and Durrani, Tariq (2018) Knowledge based fundamental and harmonic frequency detection in polyphonic music analysis. In: Communications, Signal Processing, and Systems. Springer, Singapore, pp. 591-599. ISBN 9789811065705

[img] Text (Li-etal-ICCSPS-2017-Knowledge-based-fundamental-and-harmonic-frequency-detection)
Li_etal_ICCSPS_2017_Knowledge_based_fundamental_and_harmonic_frequency_detection.pdf
Accepted Author Manuscript
Restricted to Repository staff only until 7 June 2019.

Download (545kB) | Request a copy from the Strathclyde author

    Abstract

    In this paper, we present an efficient approach to detect and tracking the fundamental frequency (Fo) from 'wav' audio. In general, music Fo and harmonic frequency show the multiple relations; therefore frequency domain analysis can be used to track the Fo. 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 Fo and harmonic frequency. The experimental results demonstrate that the proposed system can successful transcribe polyphonic music, achieved the quite advanced level.