Vuvuzela sound denoising algorithm

This script implements a sound denoising algorithm in Matlab for vuvuzela sound cancelation.

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The sound denoising algorithm is based on the popular spectral subtraction technique. Based on the spectrum of the vuvuzela sound, this denoising technique simply computes an antenuation map in the time-frequency domain. Then, the audio signal is restored by computing the inverse STFT. See [1-3] for more detail about the algorithm.

The zip file contains:

- the vuvuzela_denoising.m file
- the vuvuzela.wav audio file

To hear the result of this algorithm, go directly to: http://soundcloud.com/choc29/vuvuzela-correction-with-matlab

Note that better denoising audio results could be obtained by properly tuning the algorithm parameters.

References:

[1] Steven F. Boll, "Suppression of Acoustic Noise in Speech Using Spectral Subtraction", IEEE Transactions on Signal Processing, 27(2),pp 113-120, 1979

[2] Y. Ephraim and D. Malah, “Speech enhancement using a minimum mean square error short-time spectral amplitude estimator,” IEEE. Transactions in Acoust., Speech, Signal Process., vol. 32, no. 6, pp. 1109–1121, Dec. 1984.

[3] S. Mallat, "A Wavelet Tour of Signal Processing", Academic Press, 3rd edition, 2008.

Cite As

Choqueuse Vincent (2026). Vuvuzela sound denoising algorithm (https://www.mathworks.com/matlabcentral/fileexchange/27912-vuvuzela-sound-denoising-algorithm), MATLAB Central File Exchange. Retrieved .

General Information

MATLAB Release Compatibility

  • Compatible with any release

Platform Compatibility

  • Windows
  • macOS
  • Linux
Version Published Release Notes Action
1.2.0.0

Axes added on the spectrogram

1.1.0.0

more efficient method

1.0.0.0