Using Kurtosis for Objective Assessment of the Musical Signals Clipping Degree

Prodeus, Arkadiy; Kotvytskyi, Igor; Grebin, Alexander

doi:10.1109/picst47496.2019.9061420

Cited by 2 publications

(3 citation statements)

References 7 publications

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“…This gap was filled in [9] where usefulness of kurtosis and its transforms for speech signals clipping value assessment was shown. Similar conclusion for musical signals was made in [10]. Note that this utility does not consist in reducing the number of calculations (on the contrary, the amount of calculations grows by about half), but in obtaining a smooth and monotonous dependence of the objective quality measure on the sound signal clipping value, which allows one to more accurately assess the degree of degradation of the audio signal.…”

Section: Introductionsupporting

confidence: 55%

“…Measure 4 values are theoretically unlimited from above and cannot be less than +1. 4 values can reach 50 for real unclipped music signals and 12 for real unclipped speech signals, and parameter 4 values close to 1 corresponds to heavily clipped signals [10].…”

Section: Some Features Of Studied Parametersmentioning

confidence: 99%

“…Since the "fuzziness" of upper bound of measure 4 is inconvenient in engineering applications, it was proposed in [10] to substitute 4 with the quantities:…”

Section: Some Features Of Studied Parametersmentioning

confidence: 99%

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Audio Signals Clipping Detection Using Kurtosis and Its Transforms

Prodeus¹,

Didkovska²

2020

IJC

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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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Section: Introductionsupporting

confidence: 55%

Section: Some Features Of Studied Parametersmentioning

confidence: 99%