Name
Abstract | ||
|---|---|---|
In this paper it is shown that the use of third order statistics are useful to determine the pitch of a speech signal and how they can eliminate the effect of a wide kind of noises, including those generated by periodic sources. 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, ... ) 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. |
Year | DOI | Venue |
|---|---|---|
1992 | 10.1109/ICASSP.1992.225954 | ICASSP'92 Proceedings of the 1992 IEEE international conference on Acoustics, speech and signal processing - Volume 1 |
Keywords | DocType | Volume |
different level,speech signal,higher order statistic,new algorithm,noise ratio,proposed algorithm,useful information,pitch determination,car noise,noisy speech,noise corrupted speech,different kind,third-order statistic,order statistic,signal to noise ratio,statistical analysis,data mining,noise,gaussian noise,probability density function,cumulant,algorithm,signal generators,testing,snr | Conference | 1 |
ISSN | ISBN | Citations |
1520-6149 | 0-7803-0532-9 | 4 |
PageRank | References | Authors |
1.00 | 4 | 2 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Asunción Moreno | 1 | 399 | 44.97 |
| José A. R. Fonollosa | 2 | 410 | 51.32 |