dc.contributor
Universitat Politècnica de Catalunya. Departament de Teoria del Senyal i Comunicacions
dc.contributor
Universitat Politècnica de Catalunya. VEU - Grup de Tractament de la Parla
dc.contributor.author
Moreno Bilbao, M. Asunción
dc.contributor.author
Rodríguez Fonollosa, José Adrián
dc.identifier
Moreno, A., Fonollosa, José A. R. Pitch determination of noisy speech using higher order statistics. A: International Conference on Acoustics, Speech, and Signal Processing. ICASSP'92. "ICASSP-92: 1992 IEEE International Conference on Acoustics, Speech, and Signal Processing: March 23-26, 1992". . IEEE, 1992, p. 133-136.
dc.identifier
https://hdl.handle.net/2117/100789
dc.identifier
10.1109/ICASSP.1992.225954
dc.description.abstract
The use of third-order statistics to determine the pitch of a speech signal and how they can eliminate the effect of a wide range of noises, including those generated by periodic sources, are shown. The proposed algorithm is based on the property that higher-order statistics can extract useful information about the statistics of voiced frames, and they can separate speech from noise. Third-order statistics are quite insensitive to most noises (Gaussian, sinusoidal, car noise, etc.) because these noises have a symmetric probability density function, and therefore their third-order cumulants are zero. The algorithm has been tested in noise-corrupted speech, at different levels of signal to noise ratio, and with different kinds of noise. The results show that this new algorithm gives in all the cases a much better estimation of the pitch than the conventional autocorrelation method.
dc.description.abstract
Peer Reviewed
dc.description.abstract
Postprint (published version)
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application/pdf
dc.relation
http://ieeexplore.ieee.org/document/225954/
dc.rights
http://creativecommons.org/licenses/by-nc-nd/3.0/es/
dc.subject
Àrees temàtiques de la UPC::Enginyeria de la telecomunicació
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Telecommunication
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Statistical analysis
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Speech analysis and processing
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Telecomunicació
dc.title
Pitch determination of noisy speech using higher order statistics
dc.type
Conference report