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Pitch estimation based on harmonic salience

Publication ,  Journal Article
Song, L; Li, M; Yan, Y
Published in: Electronics Letters
November 7, 2013

The comb structure formed by the fundamental frequency and its harmonic partials in the spectrum is the important distinction between the pitch and the white noise or other coloured noises. A pitch estimation method based on harmonic salience is proposed which utilises the characteristic mentioned above to enhance the noise immunity and suppress the half-frequency errors and multi-frequency errors effectively. Experiments on various noised data of the TIMIT database demonstrate the robustness compared with other state-of-the art pitch estimation approaches.© The Institution of Engineering and Technology 2013.

Duke Scholars

Published In

Electronics Letters

DOI

ISSN

0013-5194

Publication Date

November 7, 2013

Volume

49

Issue

23

Start / End Page

1491 / 1492

Related Subject Headings

  • Electrical & Electronic Engineering
  • 4009 Electronics, sensors and digital hardware
  • 4006 Communications engineering
  • 1005 Communications Technologies
  • 0906 Electrical and Electronic Engineering
  • 0801 Artificial Intelligence and Image Processing
 

Citation

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Song, L., Li, M., & Yan, Y. (2013). Pitch estimation based on harmonic salience. Electronics Letters, 49(23), 1491–1492. https://doi.org/10.1049/el.2013.2770
Song, L., M. Li, and Y. Yan. “Pitch estimation based on harmonic salience.” Electronics Letters 49, no. 23 (November 7, 2013): 1491–92. https://doi.org/10.1049/el.2013.2770.
Song L, Li M, Yan Y. Pitch estimation based on harmonic salience. Electronics Letters. 2013 Nov 7;49(23):1491–2.
Song, L., et al. “Pitch estimation based on harmonic salience.” Electronics Letters, vol. 49, no. 23, Nov. 2013, pp. 1491–92. Scopus, doi:10.1049/el.2013.2770.
Song L, Li M, Yan Y. Pitch estimation based on harmonic salience. Electronics Letters. 2013 Nov 7;49(23):1491–1492.

Published In

Electronics Letters

DOI

ISSN

0013-5194

Publication Date

November 7, 2013

Volume

49

Issue

23

Start / End Page

1491 / 1492

Related Subject Headings

  • Electrical & Electronic Engineering
  • 4009 Electronics, sensors and digital hardware
  • 4006 Communications engineering
  • 1005 Communications Technologies
  • 0906 Electrical and Electronic Engineering
  • 0801 Artificial Intelligence and Image Processing