Low-Latency f0 Estimation for the Finger Plucked Electric Bass Guitar Using the Absolute Difference Function

  • Christhian Fonseca State University of Campinas
  • Tiago Tavares State University of Campinas

Resumo


Audio-to-MIDI conversion can be used to allow digital musical control by means of an analog instrument. Audio-to-MIDI converters rely on fundamental frequency estimators that are frequently restricted to a minimum delay of two fundamental periods. This delay is perceptible for the case of bass notes. In this paper, we propose a lowlatency fundamental frequency estimation method that relies on specific characteristics of the electric bass guitar. By means of physical modelling and signal acquisition, we show that the assumptions of the method relies on generalize throughout electric basses. We evaluate our method in a dataset with musical notes played by diverse bassists. Results show that our method outperforms the Yin method in low-latency settings, which indicates its suitability for low-latency audio-to-MIDI conversion of the electric bass sound.

Palavras-chave: Music Information Retrieval

Referências

Warren A. Gibson, J. The MIDI Standard. http://www.indiana.edu/ emusic/361/midi.htm, accessed 05/9/2019.

O. Derrien. A very low latency pitch tracker for audio to midi conversion. 17th International Conference on Digital Audio Effects (DAFx-14), 2014.

L. Rabiner. On the use of autocorrelation analysis for pitch detection. IEEE Transactions on Acoustics, Speech, and Signal Processing, 25(1):24–33, February 1977.

Alain de Cheveigné and Hideki Kawahara. Yin, a fundamental frequency estimator for speech and music. The Journal of the Acoustical Society of America, 111(4):1917– 1930, 2002.

E. J. Heller. Why You Hear What You Hear. Princeton University Press, 2012. (Chapter 23; pp. 437-504).

Andrew J. Oxenham. Pitch perception. Journal of Neuroscience, 32(39):13335–13338, 26 September 2012.

A. M. NOLL. Pitch determination of human speech by the harmonic product spectrum, the harmonic surn spectrum, and a maximum likelihood estimate. Symposium on Computer Processing in Communication, ed., 19:779–797, 1970.

M.K. Jain. Numerical Methods for Scientific and Engineering Computation. New Age International, 1st ed. edition, 2003. ISBN-10: 8122414613. pp: 844.

H.P. Langtangen. Finite difference methods for wave motion. Department of Informatics, University of Oslo, preliminary version edition, 2016.

F. Iazzetta. Tutoriais de Audio e Acustica. http://www2.eca.usp.br/prof/iazzetta/tutor/acustica, accessed 04/25/2019.

E. Jansson. Acoustics for Violin and Guitar Makers. http://www.speech.kth.se/music/acviguit4/, 4th ed. edition, 2002. (Chapter 4; pp. 16-18).

Guyot P. Fast python implementation of the yin algorithm. http://doi.org/10.5281/zenodo.1220947, 2018. accessed 01/02/2018.
Publicado
25/09/2019
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FONSECA, Christhian; TAVARES, Tiago. Low-Latency f0 Estimation for the Finger Plucked Electric Bass Guitar Using the Absolute Difference Function. In: SIMPÓSIO BRASILEIRO DE COMPUTAÇÃO MUSICAL (SBCM), 17. , 2019, São João del-Rei. Anais [...]. Porto Alegre: Sociedade Brasileira de Computação, 2019 . p. 125-130. DOI: https://doi.org/10.5753/sbcm.2019.10433.