AUDIO SIGNALS CLIPPING DETECTION USING KURTOSIS AND ITS TRANSFORMS

Authors

  • Arkadiy Prodeus
  • Maryna Didkovska

Keywords:

speech clipping, music clipping, clipping detection, clipping value measure, kurtosis

Abstract

This paper compares the results of subjective and objective assessments of the quality of speech and music signals distorted during clipping when large instantaneous signal values are replaced by a certain threshold constant or by values close to it. It was proposed in recent works to use kurtosis and some of its simple functional transforms such as reciprocal of kurtosis and square root of reciprocal of kurtosis as objective (instrumental) clipping value measures. This paper clarifies the results of a subjective assessment of the quality of speech and music signals distorted by clipping. A comparison of the obtained estimates allows one to conclude that the human auditory system is slightly more sensitive to the clipping of musical signals than to the clipping of speech signals, but this difference is small. Similarly, objective quality measures of clipped signals are almost equally sensitive to the clipping value of speech and music signals. An analysis of the variability of the kurtosis estimates, depending on the time of estimation, showed that the relative standard deviation of the kurtosis estimates is close to 10% for the analysis time interval of 1–40 s.

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Published

2020-09-27

How to Cite

Prodeus, A., & Didkovska, M. (2020). AUDIO SIGNALS CLIPPING DETECTION USING KURTOSIS AND ITS TRANSFORMS. International Journal of Computing, 19(3), 411-417. Retrieved from http://computingonline.net/computing/article/view/1890

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