COMPARISON OF ALGORITHMS FOR FUNDAMENTAL FREQUENCY DETECTION IN THE CONTEXT OF AUDIO PLUG-INS

Authors

  • SILVIU-MIHAIL NECHIFOR Faculty of Electronics, Telecommunication and Information Technology, National University of Science and Technology POLITEHNICA of Bucharest, Romania Author
  • DORIN-MIHAIL DINULESCU Faculty of Mechanical Engineering and Mechatronics, National University of Science and Technology POLITEHNICA of Bucharest, Romania Author

DOI:

https://doi.org/10.59277/RRST-EE.2023.4.11

Keywords:

Fundamental frequency, Time domain, Frequency domain, Perfect reconstruction, Frame size

Abstract

This scientific article presents a comprehensive study of audio signals' fundamental frequency detection methods, focusing on both time-domain and frequency-based approaches and audio file processing since it is crucial for the post-processing part of the audio plug-ins for which this study is intended.  Additionally, the article introduces self-repairing algorithms that adaptively identify and correct errors in the detected signals, ensuring robustness and accuracy in signal processing tasks and enhancing the overall detection performance. The findings from this study offer valuable insights into advancing signal processing techniques with broader implications across various domains.

References

Miroslav Stanek, Tomas Smatana, Comparison of Fundamental Frequency Detection Methods and Introducing Simple Self-Repairing Algorithm for Musical Applications, IEEE, 2015 25th International Conference Radioelektronika (Radioelektronika), pp. 217 – 221 (2015)

Ayokunle Damilola Familua, Ling Cheng, Modeling Of In-House Cenelec A-Band Plc Channel Using Fritchman Model And Baum-Welch Algorithm, IEEE, 2013 IEEE 17th International Symposium On Power Line Communications And Its Applications, pp. 173 – 178 (2013)

Michael Staudacher, Viktor Steixner, Andreas Griessner, Clemens Zierhofer, Fast Fundamental Frequency Determination Via Adaptive Autocorrelation, EURASIP, Journal on Audio, Speech, And Music Processing, Article number: 17 (2016)

Théo Royer, Pitch-shifting algorithm design and applications in music, Kth Royal Institute of Technology, School of Electrical Engineering and Computer Science, Degree Project in Electrical Engineering, Stockholm, Sweden (2019)

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Published

23.12.2023

Issue

Vol. 68 No. 4 (2023): RRST-EE

Section

Électronique et transmission de l’information | Electronics & Information Technology

License

Copyright (c) 2023 REVUE ROUMAINE DES SCIENCES TECHNIQUES — SÉRIE ÉLECTROTECHNIQUE ET ÉNERGÉTIQUE

Creative Commons License

This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

How to Cite

COMPARISON OF ALGORITHMS FOR FUNDAMENTAL FREQUENCY DETECTION IN THE CONTEXT OF AUDIO PLUG-INS. (2023). REVUE ROUMAINE DES SCIENCES TECHNIQUES — SÉRIE ÉLECTROTECHNIQUE ET ÉNERGÉTIQUE, 68(4), 389-394. https://doi.org/10.59277/RRST-EE.2023.4.11